Data Analyst jobs at Anblicks

Senior Data Governance Consultant (Informatica) About Paradigm - Intelligence Amplified Paradigm is a strategic consulting firm that turns vision into tangible results. For over 30 years, we've helped Fortune 500 and high-growth organizations accelerate business outcomes across data, cloud, and AI. From strategy through execution, we empower clients to make smarter decisions, move faster, and maximize return on their technology investments. What sets us apart isn't just what we do, it's how we do it. Driven by a clear mission and values rooted in integrity, excellence, and collaboration, we deliver work that creates lasting impact. At Paradigm, your ideas are heard, your growth is prioritized, your contributions make a difference. Summary: We are seeking a Senior Data Governance Consultant to lead and enhance data governance capabilities across a financial services organization The Senior Data Governance Consultant will collaborate closely with business, risk, compliance, technology, and data management teams to define data standards, strengthen data controls, and drive a culture of data accountability and stewardship The ideal candidate will have deep experience in developing and implementing data governance frameworks, data policies, and control mechanisms that ensure compliance, consistency, and trust in enterprise data assets Hands-on experience with Informatica, including Master Data Management (MDM) or Informatica Data Management Cloud (IDMC), is preferred This position is Remote, with occasional travel to Plano, TX Responsibilities: Data Governance Frameworks: Design, implement, and enhance data governance frameworks aligned with regulatory expectations (e.g., BCBS 239, GDPR, CCPA, DORA) and internal control standards Policy & Standards Development: Develop, maintain, and operationalize data policies, standards, and procedures that govern data quality, metadata management, data lineage, and data ownership Control Design & Implementation: Define and embed data control frameworks across data lifecycle processes to ensure data integrity, accuracy, completeness, and timeliness Risk & Compliance Alignment: Work with risk and compliance teams to identify data-related risks and ensure appropriate mitigation and monitoring controls are in place Stakeholder Engagement: Partner with data owners, stewards, and business leaders to promote governance practices and drive adoption of governance tools and processes Data Quality Management: Define and monitor data quality metrics and KPIs, establishing escalation and remediation procedures for data quality issues Metadata & Lineage: Support metadata and data lineage initiatives to increase transparency and enable traceability across systems and processes Reporting & Governance Committees: Prepare materials and reporting for data governance forums, risk committees, and senior management updates Change Management & Training: Develop communication and training materials to embed governance culture and ensure consistent understanding across the organization Required Qualifications: 7+ years of experience in data governance, data management, or data risk roles within financial services (banking, insurance, or asset management preferred) Strong knowledge of data policy development, data standards, and control frameworks Proven experience aligning data governance initiatives with regulatory and compliance requirements Familiarity with Informatica data governance and metadata tools Excellent communication skills with the ability to influence senior stakeholders and translate technical concepts into business language Deep understanding of data management principles (DAMA-DMBOK, DCAM, or equivalent frameworks) Bachelor's or Master's Degree in Information Management, Data Science, Computer Science, Business, or related field Preferred Qualifications: Hands-on experience with Informatica, including Master Data Management (MDM) or Informatica Data Management Cloud (IDMC), is preferred Experience with data risk management or data control testing Knowledge of financial regulatory frameworks (e.g., Basel, MiFID II, Solvency II, BCBS 239) Certifications, such as Informatica, CDMP, or DCAM Background in consulting or large-scale data transformation programs Key Competencies: Strategic and analytical thinking Strong governance and control mindset Excellent stakeholder and relationship management Ability to drive organizational change and embed governance culture Attention to detail with a pragmatic approach Why Join Paradigm At Paradigm, integrity drives innovation. You'll collaborate with curious, dedicated teammates, solving complex problems and unlocking immense data value for leading organizations. If you seek a place where your voice is heard, growth is supported, and your work creates lasting business value, you belong at Paradigm. Learn more at ******************** Policy Disclosure: Paradigm maintains a strict drug-free workplace policy. All offers of employment are contingent upon successfully passing a standard 5-panel drug screen. Please note that a positive test result for any prohibited substance, including marijuana, will result in disqualification from employment, regardless of state laws permitting its use. This policy applies consistently across all positions and locations.

Role: Applied Data Scientist/ Data Science Engineer Yrs. of experience: 8+ Yrs. Job type : Fulltime Job Responsibilities: You will be part of a team that innovates and collaborates with internal stakeholders to deliver world-class solutions with a customer first mentality. This group is passionate about the data science field and is motivated to find opportunity in, and develop solutions for, evolving challenges. You will: Solve business and customer issues utilizing AI/ML - Mandatory Build prototypes and scalable AI/ML solutions that will be integrated into software products Collaborate with software engineers, business stakeholders and product owners in an Agile environment Have complete ownership of model outcomes and drive continuous improvement Essential Requirements: Strong coding skills in Python and SQL - Mandatory Machine Learning knowledge (Deep learning, Information Retrieval (RAG), GenAI , Classification, Forecasting, Regression, etc. on large datasets) with experience in ML model deployment Ability to work with internal stakeholders to transfer business questions into quantitative problem statements Ability to effectively communicate data science progress to non-technical internal stakeholders Ability to lead a team of data scientists is a plus Experience with Big Data technologies and/or software development is a plus

Immediate need for a talented Senior Data Systems Analyst. This is a 12 months contract opportunity with long-term potential and is located in Westlake, TX(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-93280 Pay Range: $57 - $67/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required 6-8 years of working experience You have working in investment banking, finance, venture Client, asset management, or wealth management (Required) You have experience analyzing existing system functionality, leveraging data models and SQL queries and reflects the findings in clear functional documentation. You have significant expertise in data related projects in the areas of requirements gathering, analysis, interpretation and translating them to data solutions. You have dimensional data modelling design and implementation experience. You understand and communicate sophisticated concepts effectively to a variety of audiences, both technical and non-technical. You make the complicated simple. Strong SQL experience (ANSI SQL, Oracle, Client) You have a passion for continuous learning, mastering of new skills, and staying on top of the latest innovations across data analytics. You are fluent in agile work methodologies such as scrum and its application. You are known as a go-getter, with the ability to unravel a mystery; data, business process or organizational. Strong results-orientated contributor with an ability to clearly articulate and deliver business value. Expert level SQL for data analysis and querying Understanding of AWS cloud data models using Snowflake Experience analyzing data, performing data readiness, identifying data sources and remediating issues for given requirements-all so the data engineers can execute. Systems Analyst mindset to understand how the systems are coming together, how they interact and how they connect, and then write concise business requirements tying the technical and business case together. Understand distributed systems to connect multiple systems Should have financial domain/asset management domain to understand complex security nuances. Our client is a leading Financial Services Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Our government client is seeking an experienced Business Systems Analyst on an onsite 6+ months renewable contract opportunity in Austin, TX. Role: Business Systems Analyst W2 RATE - $91/hr Candidates must already reside in Texas. Job Description: Reviews, analyzes, and evaluates business systems and user needs. Formulates systems to parallel overall business strategies. Experienced with business process reengineering and identifying new applications of technology to business problems to make business more effective. Familiar with industry standard business process mapping, and reengineering. Prepares solution options, risk identification, and financial analyses such as cost/benefit, ROI, buy/build, etc. Writes detailed description of user needs, program functions, and steps required to develop or modify computer programs. The agency seeks highly qualified candidates to fill the Business Analyst position within the agency Environmental Epidemiology and Disease Registries Section. This position will perform senior level consultative services and technical assistance work in the area of agency analysis for program related activities. Work involves analyzing DSHS priority initiatives and special projects utilizing business analysis best practices in coordination with agency business and program units. Duties include: assessing, analyzing, researching, facilitating and documenting requirements, assuring the use of best practices and standards, assisting in the coordination and optimization of DSHS operations and program functions and providing recommendations. This position is responsible for assisting with the facilitation and analysis across numerous related initiatives and leading special projects as assigned by agency leadership. These responsibilities include: developing business analysis tools; defining requirements; reporting progress on key projects to management; providing recommendations to agency leadership. This position will also work with staff to initiate, facilitate or participate in projects to maximize the success of multiple and diverse projects. Works under limited direction with extensive latitude for the use of initiative and independent judgment. II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 8 Required Ability to research, gather, assemble, correlate and analyze system requirements; to devise solutions to problems; and to prepare concise reports and/or to analyze and solve complex and difficult problems and prioritize information and issues. 8 Required Ability to develop and present reports identifying gaps in functionality and operational effectiveness to executive stakeholders. 8 Required Develops or contributes in the development of as-is / to-be process models to identify opportunities for greater operational efficiencies. Skilled in effectively mapping business processes and identifying process improvements and skilled in planning . 8 Required Experience with the analysis of program policies and procedures to determine their effect on automated systems and system functional areas. 8 Required Works with the functional teams to understand current and upcoming needs not currently met with existing processes and technology solutions. 5 Preferred Experience creating strong relationships with project stakeholders. Must possess strong communication and presentation skills. Work with stakeholders to identify, define and document requirements 5 Preferred Experience developing strategic and project SDLC materials, including gap analysis, recommendations, roadmaps, requirements, design documents, test cases, and use cases. 1 Preferred Possess UX design experience Vector Consulting, Inc., (Headquartered in Atlanta) is an IT Talent Acquisition Solutions firm committed to delivering results. Since our founding in 1990, we have been partnering with our customers, understanding their business, and developing solutions with a commitment to quality, reliability and value. Our continuing growth has been and continues to be built around successful relationships that are based on our organization's operating philosophy and commitment to ** People, Partnerships, Purpose and Performance - THE VECTOR WAY ************************ “Celebrating 30 years of service.”

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a talented and analytical Data Scientist to join our team. The ideal candidate will leverage advanced data analysis, statistical modeling, and machine learning techniques to drive insights, optimize loan processes, improve risk assessment, and enhance customer experiences in mortgage and lending domains. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Dallas, TX is $110k - $120k/year & benefits (see below). The Role Responsibilities: Analyze large volumes of loan and mortgage data to identify key trends, patterns, and risk factors. Develop and implement predictive models for credit scoring, risk segmentation, loan default prediction, and fraud detection. Collaborate with product teams, underwriters, and risk managers to understand business requirements and translate them into analytical solutions. Build data pipelines and automate data ingestion, cleaning, and processing workflows related to loans and mortgage portfolios. Conduct feature engineering to improve model accuracy and robustness. Monitor model performance over time and recalibrate models as needed based on changing market conditions. Create dashboards and reports to communicate insights and support decision-making processes. Ensure data quality, integrity, and compliance with regulatory standards. Stay updated on industry trends, emerging techniques, and regulatory changes affecting mortgage and lending projects Requirements: Strong knowledge of mortgage products, loan lifecycle, credit risk, and underwriting processes. Experience with Kafka, Hadoop, Hive, or other big data tools. Familiarity with containerization (Docker) and orchestration (Kubernetes). Understanding of data security, privacy, and compliance standards. Knowledge of streaming data processing and real-time analytics. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Strong knowledge of statistical techniques and advanced mathematics. 3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred). 5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data - specifically around experimental design, KPI calculation, and A/B testing. 4+ years of experience in manipulating big data using Python, PySpark, or SQL. Expert Experience with data visualization tools in Python, PowerBI, etc.

Hi Sr Data Architect (Databricks and BigQuery) Experience: 8-10 Years We are looking for a highly skilled Data Architect to design, build, and optimize large-scale data warehousing and AI-driven analytical solutions. The ideal candidate will have hands-on experience in data modeling, application data integration, and modern cloud data platforms - with strong expertise in BigQuery and Databricks. Key Responsibilities: • Architect and implement large-scale data warehousing and data lake solutions. • Lead migration initiatives from Databricks to BigQuery. • Define and implement data models to support application development and analytics. • Collaborate with Data Science and AI teams to design scalable Data + AI solutions. • Ensure data quality, governance, and security standards are upheld. • Work closely with stakeholders to translate business needs into technical data architecture. Required Skills: • 8-10 years of experience in Data Architecture, ETL, and Data Modeling. • Strong expertise in Google BigQuery and Databricks. • Proficiency in SQL, Python, and data integration frameworks. • Experience in data migration and performance optimization. • Familiarity with App Development Data Models and AI/ML integration. • Excellent communication and stakeholder management skills. Preferred Skills: • Experience with cloud-native architecture (GCP, Azure, or AWS). • Understanding of modern data mesh or lakehouse architectures. • Prior experience leading data modernization or migration projects. If interested, Please share below details with update resume: Full Name: Phone: E-mail: Rate: Location: Visa Status: Availability: SSN (Last 4 digit): Date of Birth: LinkedIn Profile: Availability for the interview: Availability for the project:

We are seeking a highly experienced Lead GCP Data Engineer to design, build, and optimize scalable data engineering solutions on Google Cloud Platform. The ideal candidate will take ownership of building robust data pipelines, ensuring best practices, and leading engineering teams to deliver high-quality data solutions for analytics, reporting, and business operations. Key Responsibilities Lead the design, development, and deployment of data pipelines and data integration workflows on GCP. Build and optimize data ingestion, transformation, and storage using tools such as Dataflow, Dataproc, Pub/Sub, Composer, BigQuery, Cloud Storage, and Cloud Functions. Collaborate with data architects, analysts, and business teams to translate requirements into technical solutions. Develop and maintain ETL/ELT frameworks, ensuring scalability, performance, and reliability. Implement and enforce best practices around data quality, data validation, metadata management, and documentation. Conduct performance tuning for BigQuery, Dataflow, Spark jobs, and data pipelines. Drive cost optimization strategies for GCP data workloads. Ensure compliance with data security, governance, and access control policies. Provide technical leadership, mentoring, and code reviews for the data engineering team. Contribute to architecture discussions and technology strategy for cloud data platforms.

Primary Responsibilities: Design and implement automated test suites for AI/ML workflows that enables Optum to derive information from patient data in a scalable, reliable, and cost-effective manner using AI Analyze clinical data and determine the best designs on how to verify the correct processing of this data Perform functional, regression, integration, and system testing to validate software quality Identify, create, and track reproducible defects using bug-tracking tools, collaborating with developers for resolution Conduct performance and load testing to identify bottlenecks and measure throughput Integrate automated tests to our AWS and GCP accounts to achieve continuous integration (CI/CD) As an advocate for product quality, ensure that team members adopt agile SCRUM methodologies, perform unit tests, code reviews Review and contribute to engineering specifications to ensure that each feature/user story can be tested in an automated fashion Write integration test plans with end-end test automation as a goal Mentoring a couple of mode Junior engineers who may write test cases Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: Master's degree in computer science, Engineering, or a related technical field 4+ years of work experience in AI/ML engineering with solid proficiency in Python programming 2+ years of experience as an SDET using test automation tools like Selenium, Cypress or similar tools Experience in at least one project using API testing tools like Selenium, Pytest, Postman or similar Delivered at least one product hosted on a cloud platform (AWS, GCP, or Azure) Preferred Qualifications: AWS experience such as RDS, ALB, Redis Cache, Secret Manager, EC2, IAM Experience in deploying generative AI systems (LLMs, Prompts, Agentic systems) Experience with Rally Experience integrating with healthcare data systems and working with clinical data formats Solid communication and collaboration skills, with the ability to thrive in fast-paced and ambiguous environments Solid analytical skills and ability to debug issues in complex systems Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation, GitHub actions, Azure DevOps) *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $89,900 to $160,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role: Business Systems Analyst Job Type: FT with Infinite Computer Solution In this role, as a Business Systems Analyst, Senior level, you will play a key role in mentoring the less experienced associates within the Experience Digital Online Banking Application Implementation team, advising them by using advanced knowledge of the Experience Digital Online Banking Application product, integrations and client business environments. You will also be providing your best practice knowledge to clients as a consultative role when defining business solutions during implementations. You will be handling the larger complex projects or multiple small projects, leading business analysis activities during the project cycle. This includes driving internal and client facing discussions for requirements definition for base configurations and customization's of an internet banking platform. Experience Level 8+ Years Technical Expertise (Mandatory) List must-have technical skills with proficiency level (Beginner/Intermediate/Expert): Azure Dev Ops, JIRA, ServiceNow (Intermediate) Visio (Expert) MS Office 365 (Expert) SAML (intermediate) Understanding of Integrations using APIs and Single Sign-on Authentication methods (Intermediate) Technical Expertise (Good to Have) MS Project Smartsheet Appian SQL General knowledge of software development structures. UI/UX design Mobile Technology - iOS and Android Functional/Doman/Product Expertise (Mandatory) Understanding of banking/financial workflows Understanding of Retail banking / Investment banking / Commercial banking Transaction processing systems Risk & fraud detection Core banking systems (e.g., Temenos, Finacle) Exposure to digital payments (e.g., Fed Wire, SWIFT) Exposure to ACH Processing and NACHA Guidelines Project management and development methodologies (e.g. Waterfall, Agile) Functional/Doman/Product Expertise (Good to Have) Exposure to fintech solutions Financial reporting & reconciliation Loan & credit processing Familiar with operational differences between Banks and Credit Unions and understand how their business needs differentiate. Previous work experience related to internet home banking applications is a plus. Experience in a mentoring or team lead capacity. Key Job Responsibilities Providing clients with best practice direction for defining solutions. Ensure efficiency and accuracy through high quality analysis and documentation. Work with clients, other Fiserv project team members, and product managers to document detailed requirements that capture our clients' needs and meet their expectations. Provide the advanced subject matter expertise in explaining and consulting internally within the project teams and externally with clients. Be a key source of knowledge of product functionality and business processes relating to the Experience Digital Online Banking Application Online Banking and key integrations. Provide consultative best practice direction when discussing solutions with clients. Drive requirements gathering sessions, sometimes onsite, or in project meetings. Work with multi-functional client partners to complete application worksheets and customizations scoping. Collaborate with the client and Fiserv project engineers to define requirements related to online banking configurations and customizations. This includes scoping solutions, documenting workflows, assisting in developing estimates, and validating solutions. Understand customer's goals and business needs to clearly articulate solution configurations and customization workflows to partners. Understand the prospect's current state; the people, the teams involved as well as the key metrics and technical capabilities of those teams needed. Understand the impact on business unit and/or customers for new solutions. Be able to translate, map, and communicate any known gaps resulting from making the transition from current to future state. Manage UAT cycles, including providing client training, triaging reported issues due to client testing. Travel for Client onsite kick off meetings, support go-live events and other events such as mock conversion rehearsals for larger projects. Review and understand vendor solution technical specifications to extract the relevant technical requirements needed to include in custom requirements documents. Additional Responsibilities (Good to Have) Mentor and lead other less experienced colleagues to assist in their development and the development of the Business Analyst team as a whole. Providing input and consultation to process improvement initiatives. Participate and provide input to Product improvement, assisting the Experience Digital Product Management team. Certifications (Preferred but not Mandatory) ECBA / CCBA /CBAP PMP / Agile Scrum Master

Hi, Business analyst Need State or Federal client experience CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 8 Required Extensive experience reviewing, analyzing, and evaluating business systems and user needs. 8 Required Thorough understanding of the business analysis areas of knowledge and its associated activities and tasks. 8 Required Experience participating in software development reviews and providing advice and assistance to other team members in analysis, design, and test. 8 Required Experience performing or participating in unit testing, support system testing and user acceptance testing. 8 Required Extensive skill in planning and organizing work to meet goals and complete multiple assignments without compromising accuracy. 8 Required Thorough knowledge of software development lifecycle methodologies. 8 Required Extensive skill in effective verbal and written communications with both IT and business professionals and clients. 8 Preferred Experience with the implementation of case management systems. 8 Preferred Experience with Jira project management software. Please share your resume at ***********************

Role:- SAP PP with Data Migration (Flexi) Consultant/ Architect Duration- Fulltime/ Contract JD SAP PP/MES consultant with experience range 12 - 20 years. Configuration expert in SAP PP/PEO/QM modules. Knowledge on ‘product rework/rework from stock' & MRO process would be essential. Industry experience of aerospace & defense or automobile would be nice to have. Exposure to the FIORI applications and S4HANA application would be preferred. Hands on with PP-MM, PP-QM integration. Experience in complex assembly manufacturing preferred. Capable of requirement gathering, building functional specifications. Guide ABAP developer on the solution and test with business acumen. Sum up the business requirement into the business process and help breakdown those into the items to be built from development perspective. At least 2 - 3 SAP implementation project experience preferred in both production planning & Quality module. SAP consultant with knowledge on the Parameter Unit effectivity would be a bonus (aircraft build). Hands on experience on material requirement planning and experience with the project stock with involvement of WBS elements. Theoretical knowledge on the SAP project systems (Network orders, WBS elements & PP-PS integration via MA & IKs). Must be results oriented, and demonstrate a can-do attitude - adaptability, flexibility, and resourcefulness *Having exposure to SAP CAMS (complex assembly manufacturing system) would de preferred. *Experience with the data migration from a NON-SAP or SAP system to another for master data & transactional data via LTMC, LSMW, data migration cockpit *Familiarization with S4 Data Migration Cockpit, SAP Data Services, SAP BODS, SAP Data Services Designer, S4HANA Database would be a plus. *Through knowledge in material master, Bill of material, Routing (plan) and its usage & configuration. Deep knowledge on Serialization & batch management is requested. *Investigate and resolve data migration errors related to master data in BOM & ROUTING. Perform multiple test cycles to validate BOM, ROUTING, Orders across landscape would be required. *Review and test architectural decisions related to MBOMs, routing, and serialization, ensuring alignment with business requirements and system configurations.

Role: Business System Analyst We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Job Overview: We are seeking a detail-oriented and analytical Business System Analyst to act as a bridge between business needs and technology solutions. The successful candidate will evaluate business processes, gather and document requirements, and propose technological solutions to improve efficiency, productivity, and overall business performance. Key Responsibilities: Collaborate with stakeholders to understand their business requirements and objectives. Analyze current business processes and workflows to identify areas for improvement. Gather, document, and validate detailed business requirements and specifications. Translate business needs into functional and technical specifications for IT teams. Facilitate communication between business units and technical teams to ensure solutions meet business needs. Assist in the design, testing, and deployment of new systems or system enhancements. Conduct gap analysis to identify differences between existing systems and desired future states. Develop use cases, user stories, process flow diagrams, and other documentation as needed. Provide support during system implementation and post-implementation review. Stay up-to-date with industry trends and best practices related to business analysis and technology. Qualifications: Bachelor's degree in Business Administration, Information Technology, or related field. Proven experience as a Business System Analyst or similar role. Strong understanding of business processes and IT systems. Excellent analytical, problem-solving, and organizational skills. Proficiency in process modeling and documentation tools (e.g., Visio, Lucidchart). Excellent communication and stakeholder management skills. Knowledge of project management methodologies is a plus. Preferred Skills: Experience with software development life cycle (SDLC). Familiarity with database management and SQL. Knowledge of Agile/Scrum methodologies.

IDR is seeking a Data Engineer to join one of our top clients for an opportunity in Coppell, TX. This role involves designing, building, and maintaining enterprise-grade data architectures, with a focus on cloud-based data engineering, analytics, and machine learning applications. The company operates within the technology and data services industry, providing innovative solutions to large-scale clients. Position Overview for the Data Engineer: Develop and maintain scalable data pipelines utilizing Databricks and Azure environments Design data models and optimize ETL/ELT processes for large datasets Collaborate with cross-functional teams to implement data solutions supporting analytics, BI, and ML projects Ensure data quality, availability, and performance across enterprise systems Automate workflows and implement CI/CD pipelines to improve data deployment processes Requirements for the Data Engineer: 8-10 years of experience on modern data platforms with a strong background in cloud-based data engineering Strong expertise in Databricks (PySpark/Scala, Delta Lake, Unity Catalog) Hands-on experience with Azure (AWS/GCP also acceptable IF Super strong in Databricks) Advanced SQL skills and strong experience with data modeling, ETL/ELT development and data orchestration Experience with CI/CD (Azure DevOps, GitHub Actions, Terraform, etc.) What's in it for you? Competitive compensation package Full Benefits; Medical, Vision, Dental, and more! Opportunity to get in with an industry leading organization. Why IDR? 25+ Years of Proven Industry Experience in 4 major markets Employee Stock Ownership Program Dedicated Engagement Manager who is committed to you and your success. Medical, Dental, Vision, and Life Insurance ClearlyRated's Best of Staffing Client and Talent Award winner 12 years in a row.

Minimum 7 years of relevant work experience in data engineering, with at least 2 years in a data modeling. Strong technical foundation in Python, SQL, and experience with cloud platforms (Azure,). Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies. Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI). Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a Senior Python Data Engineer with deep expertise in building scalable, production-grade data pipelines and models, particularly within the financial domain. The ideal candidate will have advanced proficiency in modern Python frameworks like Fast API and Pydantic, strong data manipulation skills, and extensive experience with relational and NoSQL databases. Knowledge of graph databases, LLMs, and MLOps practices is highly desirable. Join us to innovate at the intersection of data engineering, AI, and financial risk management, delivering impactful, high-performance solutions. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Irving, TX is $120k - $130k/year & benefits (see below). The Role Responsibilities: Design, develop, and deploy robust, scalable data pipelines to process large volumes of structured and unstructured financial data. Implement AI-driven solutions, leveraging LLMs and Generative AI to enhance data quality, enrichment, and analysis. Engineer and productionize predictive and prescriptive models in collaboration with quantitative and business teams to deliver measurable value. Analyze complex financial datasets, with a focus on credit risk, to uncover patterns, insights, and innovative solutions. Serve as a technical partner to stakeholders, translating business requirements into high-performance, resilient data systems. Stay abreast of latest advancements in data engineering, AI, and ML to foster continuous innovation and improvement within the team. Requirements: Expert-Level Python: Deep, hands-on proficiency with modern Python (3.11+). Modern Frameworks: Proven experience building high-performance, production-ready services and data models using the latest Python frameworks, including FastAPI and Pydantic. Data Tooling: Strong command of core data manipulation and analysis libraries (e.g., Pandas, NumPy, Polars). Database Proficiency: Advanced SQL skills and extensive experience working with large-scale relational databases (e.g., Sybase IQ, PostgreSQL, Oracle). Educational Foundation: Bachelor's degree in computer science, Engineering, or a related quantitative field (or equivalent practical experience). Problem-Solving Mindset: A proven ability to dissect complex, often ambiguous problems and engineer elegant, effective solutions. Preferred, but not required: Graph Technology: Practical experience with graph databases, specifically Neo4j Enterprise, and graph data modeling concepts. Diverse Database Experience: Proficiency with various database systems, including relational databases like PostgreSQL and NoSQL databases like MongoDB. GenAI & LLM Experience: Hands-on experience with modern AI frameworks like Lang Chain, Llama Index, or Hugging Face Transformers. Big Data Expertise: Familiarity with distributed computing frameworks like Apache Spark (PySpark) or Dask. Financial Domain Knowledge: Prior experience in the financial services industry, especially within risk management, is a significant plus. MLOps: Understanding of MLOps principles and tools for model versioning, deployment, and monitoring (e.g., MLflow, Kubeflow). We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Infosys is seeking a Google Cloud (GCP) data engineer with experience in Github and python. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. This position may require travel in the US Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time At least 4 years of Information Technology experience. Experience working with technologies like - GCP with data engineering - data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query. ETL development experience with strong SQL background such as Python/R, Scala, Java, Hive, Spark, Kafka Strong knowledge on Python Program development to build reusable frameworks, enhance existing frameworks. Application build experience with core GCP Services like Dataproc, GKE, Composer, Deep understanding GCP IAM & Github. Must have done IAM set up Knowledge on CICD pipeline using Terraform in Git. Preferred Qualifications: Good knowledge on Google Big Query, using advance SQL programing techniques to build Big Query Data sets in Ingestion and Transformation layer. Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data Knowledge on Airflow Dag creation, execution, and monitoring. Good understanding of Agile software development frameworks Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams. Experience and desire to work in a global delivery environment.

Must Haves: Strong proficiency in Python; 5+ years' experience. Expertise in Fast API and microservices architecture and coding Linking python based apps with sql and nosql db's Deployments on docker, Kubernetes and monitoring tools Experience with Automated testing and test-driven development Git source control, git actions, ci/cd , VS code and copilot Expertise in both on prem sql dbs (oracle, sql server, Postgres, db2) and no sql databases Working knowledge of data warehousing and ETL Able to explain the business functionality of the projects/applications they have worked on Ability to multi task and simultaneously work on multiple projects. NO CLOUD - they are on prem Day to Day: Insight Global is looking for a Python Data Engineer for one of our largest oil and gas clients in Downtown Houston, TX. This person will be responsible for building python-based relationships between back-end SQL and NoSQL databases, architecting and coding Fast API and Microservices, and performing testing on back-office applications. The ideal candidate will have experience developing applications utilizing python and microservices and implementing complex business functionality utilizing python.

Requirement: • 10+ years of overall experience developing data solutions leveraging Microsoft technologies (SSIS and or ADF, SSAS, SQL Server, Azure SQL/Synapse) Azure Databricks experience is must. • 2+ years of overall experience developing end to end cloud native enterprise data platforms on Azure (Must have a solid understanding of cloud concepts: Storage, Compute, Network and Managed Services) • Ability to work with key stake holders (both functional and technical) to understand the requirements, create a technology proposal, evaluate it and help the implementation team • Very good data warehousing and data modeling skills (Kimball, Inmon, Star, Snowflake, Constellation) • Very good knowledge of the source and destination systems connectors • 4+ years of experience working on SQL Data Warehouse and/or Azure Synapse • 4+ years of experience working on SQL, T-SQL, Stored procedures, Functions • 2+ years of experience working on SSIS • 1+ years of experience building data lakes leveraging ADLS or Blob storage • 1+ years of experience implementing solutions involving Storage and Compute separation • Python or C# experience is a nice to have • Power BI experience is a nice to have • Azure Analysis Services experience is a nice to have • Snowflake Cloud Data Platform experience is a nice to have Liquid error: undefined method `public_fields' for nil:NilClass