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Data warehouse architect skills for your resume and career

15 data warehouse architect skills for your resume and career
1. Analytics
- Lead and manage development, delivery, and enhancements to Nickelodeon Virtual Worlds online user engagement and retention reporting and analytics.
- Developed infrastructure requirements and multidimensional data models to support aggregate and summary information for marketing analytics.
2. Data Warehouse
Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.
- Managed Data Warehouse production environment, monitored Data Warehouse processes and identified, researched and coordinated the resolution of data anomalies.
- Led effort to integrate division data warehouse design into home office data warehousing initiative as part of corporate consolidation.
3. Business Intelligence
- Headed end-to-end design, development, and delivery of business intelligence solutions to support needs for software development and test organizations.
- Reviewed and graded Business Requirement Documents and High Level Architecture Designs for back-end systems to define/determine impact on business intelligence applications.
4. Power Bi
- Used several custom Power BI Visualizations for specific business requirements.
- Configured Automatic data refresh using gateway in Power BI.
5. Data Warehousing
- Lectured and trained extensively on data warehousing architecture and related technical issues including data quality, metadata and XML.
- Created, extended, and evangelized a near-real-time infrastructure to support data warehousing.
6. Data Quality
- Worked in areas of Data Management practice, ownership with domain data governance with Metadata Management and Data Quality.
- Designed an ETL monitoring system to facilitate error detection and data auditing that ensured data quality.
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- Helped them to create Master Data Management Warehouse & Data lake repository for reporting.
- Identify and improve data elements within existing data lakes and new data lakes still in design phase.
8. Data Architecture
- Provided data strategy, data architecture, system design, component integration, methodology/ process development and overall project technical management.
- Managed development of an enterprise data architecture and logical models for both dimensional and relational databases.
9. Oracle Sql
- Created 150 standard reports in Business Objects and Oracle SQL
- Developed and tuned complex reporting queries using Oracle SQL.
10. Cloud Computing
- Design, Build, implementation, & requirement analysis for Data Centers / Cloud Computing / Cloud / End User Platforms.
- Evaluate the use of COATS cloud computing solutions which would meet both DOD and civilian security requirements.
11. Java
Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.
- Worked with developers to optimize SQL utilized by Java applications.
- Designed and implemented JAVA EE/CORBA n-tier distributed processing system to automate data streams into Oracle 8.x Data Warehouse.
12. Database Design
- Develop logical data models, create physical database designs, assess implementation alternatives and formulate overall design approaches.
- Led the development of logical data model and physical database design model with associated documentation.
13. PL/SQL
- Developed data integration interface for staging and operational data store using SQL*Loader and PL/SQL.
- Implemented custom transformation using PL/SQL packages for Data reconciliation.
14. Data Integration
- Implemented Oracle GoldenGate for real-time data integration between applications and the data warehouse.
- Developed Solution Analysis and Concept Document templates used for all Data integration projects.
15. Ssis
SSIC stands for Singapore Standard Industrial Classification. It is a national standard for classifying economic activities such as population censuses, household and business surveys, financial databases etc.
- Developed SSIS packages which load mediation files which get data for all the towers nationwide and load into the Target DB.
- Worked with another developer to develop SSIS 2008 packages to extract and transform the necessary data from its source.
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List of data warehouse architect skills to add to your resume
The most important skills for a data warehouse architect resume and required skills for a data warehouse architect to have include:
- Analytics
- Data Warehouse
- Business Intelligence
- Power Bi
- Data Warehousing
- Data Quality
- Data Lake
- Data Architecture
- Oracle Sql
- Cloud Computing
- Java
- Database Design
- PL/SQL
- Data Integration
- Ssis
- Project Management
- Metadata
- Business Processes
- EDW
- Physical Data Models
- Provisioning
- Azure
- Data Analysis
- Microsoft SQL Server
- Data Marts
- Data Governance
- Teradata
- Schema
- SSRS
- Informatica ETL
- Dashboards
- OLTP
- Data Structures
- Visualization
- Netezza
- Windows
- Profiling
- OLAP
- Hadoop
- Snowflake
- DBA
- Informatica Powercenter
- Cognos
- Perl
- ERP
- SSAS
- Extraction
Updated January 8, 2025