What does a data warehousing engineer do?
Data warehousing engineer responsibilities
Here are examples of responsibilities from real data warehousing engineer resumes:
- Perform responsibilities of collecting and understanding business requirements for an internal TCS project to automate the report generations.
- Create the data model and prepare the data for extraction using UNIX shell scripting and PL/SQL.
- Represent billing data using XML.
- Function as DB2 data definition repository manager in the corporate database directorate for corporate billing, ordering, and provisioning system.
- Design and implement J2EE solutions in order to develop online underwriting insurance applications.
Data warehousing engineer skills and personality traits
We calculated that 32% of Data Warehousing Engineers are proficient in Data Warehousing, Data Warehouse, and Data Models. They’re also known for soft skills such as Analytical skills, Communication skills, and Creativity.
We break down the percentage of Data Warehousing Engineers that have these skills listed on their resume here:
- Data Warehousing, 32%
Apply Ralph Kimball's methodology for Data Warehousing and Dimensional Data Modeling.
- Data Warehouse, 19%
Worked on designing a data warehouse to report daily sales for different insurance products offerings.
- Data Models, 10%
Migrated SSRS reports and data modeling projects from 2005 to 2008.
- Data Pipeline, 10%
Developed code to create dashboards or reports, enabling executives, technical leads, and product managers to monitor the data pipeline
- PL/SQL, 7%
Worked on Agile model of SDLC Skills: PL/SQL, Oracle Warehouse Builder, Unix
- Data Quality, 7%
Designed a data quality check application to identify data glitches and automatically clean data to minimize distortion and maximize accuracy.
Most data warehousing engineers use their skills in "data warehousing," "data warehouse," and "data models" to do their jobs. You can find more detail on essential data warehousing engineer responsibilities here:
Analytical skills. To carry out their duties, the most important skill for a data warehousing engineer to have is analytical skills. Their role and responsibilities require that "developers must analyze users’ needs and then design software to meet those needs." Data warehousing engineers often use analytical skills in their day-to-day job, as shown by this real resume: "performed data analysis on new data sources as they were migrated into the data warehouse. "
Communication skills. Many data warehousing engineer duties rely on communication skills. "developers must be able to give clear instructions to others working on a project," so a data warehousing engineer will need this skill often in their role. This resume example is just one of many ways data warehousing engineer responsibilities rely on communication skills: "calculated scores for letter of recommendations, student survey and enrollment specialist communications using python and natural language processing toolkit. "
Creativity. This is an important skill for data warehousing engineers to perform their duties. For an example of how data warehousing engineer responsibilities depend on this skill, consider that "developers are the creative minds behind new computer software." This excerpt from a resume also shows how vital it is to everyday roles and responsibilities of a data warehousing engineer: "warehouse inventory control system: asp.net application in c#, mv.net, android sdk. ".
Detail oriented. A big part of what data warehousing engineers do relies on "detail oriented." You can see how essential it is to data warehousing engineer responsibilities because "developers often work on many parts of an application or system at the same time and must therefore be able to concentrate and pay attention to detail." Here's an example of how this skill is used from a resume that represents typical data warehousing engineer tasks: "implemented object oriented programming, java collections api, soa, design patterns, multithreading and network programming techniques. "
Interpersonal skills. Another crucial skill for a data warehousing engineer to carry out their responsibilities is "interpersonal skills." A big part of what data warehousing engineers relies on this skill, since "software developers must be able to work well with others who contribute to designing, developing, and programming successful software." How this skill relates to data warehousing engineer duties can be seen in an example from a data warehousing engineer resume snippet: "generated a map of interpersonal relationships from an xml file. "
Problem-solving skills. While "problem-solving skills" is last on this skills list, don't underestimate its importance to data warehousing engineer responsibilities. Much of what a data warehousing engineer does relies on this skill, seeing as "because developers are in charge of software from beginning to end, they must be able to solve problems that arise throughout the design process." Here is a resume example of how this skill is used in the everyday duties of data warehousing engineers: "provided solution using mongodb and nosql databases. "
The three companies that hire the most data warehousing engineers are:
- American Red Cross7 data warehousing engineers jobs
- Peraton3 data warehousing engineers jobs
- Deloitte2 data warehousing engineers jobs
Compare different data warehousing engineers
Data warehousing engineer vs. Sql server developer
A structured query language (SQL) server developer is a specialist who is tasked to develop and maintain systems to store, organize, and access databases. With their experience in data architect and management, SQL server developers can develop and scale SQL databases based on the needs of their organization. They conduct troubleshooting in databases which involve data validation and extensive testing to ensure that the end user's specifications are met. They are also involved in the maintenance of the organization's server.
These skill sets are where the common ground ends though. The responsibilities of a data warehousing engineer are more likely to require skills like "data models," "data pipeline," "data quality," and "code reviews." On the other hand, a job as an sql server developer requires skills like "database objects," "sql server analysis," "ssrs," and "ssis packages." As you can see, what employees do in each career varies considerably.
The education levels that sql server developers earn slightly differ from data warehousing engineers. In particular, sql server developers are 8.0% less likely to graduate with a Master's Degree than a data warehousing engineer. Additionally, they're 0.2% more likely to earn a Doctoral Degree.Data warehousing engineer vs. Salesforce developer
A salesforce developer is responsible for analyzing a company's needs and devising systems and customs applications to support them. It is their responsibility to coordinate with various company experts to bring the applications to fruition. Should there be any issues, a salesforce developer needs to perform troubleshooting and corrective measures while conducting regular maintenance. Furthermore, a salesforce developer must educate company staff on how to use these applications by facilitating technical training or providing written instructions.
Each career also uses different skills, according to real data warehousing engineer resumes. While data warehousing engineer responsibilities can utilize skills like "data warehouse," "data pipeline," "pl/sql," and "data quality," salesforce developers use skills like "apex," "java," "javascript," and "soql."
In general, salesforce developers achieve lower levels of education than data warehousing engineers. They're 12.4% less likely to obtain a Master's Degree while being 0.2% more likely to earn a Doctoral Degree.Data warehousing engineer vs. Lead developer
A lead developer is responsible for creating software programs and applications, following the client and the business's software quality standards and design specifications. Lead developers assist a team of developers in implementing strategic procedures, managing system codes, debugging applications, running diagnostic tests, and troubleshooting defects to ensure its smooth performance. They also respond to clients' inquiries and concerns, performing feature adjustments as needed. A lead developer must have strong knowledge of the technology industry and command on programming languages and software design processes.
Some important key differences between the two careers include a few of the skills necessary to fulfill the responsibilities of each. Some examples from data warehousing engineer resumes include skills like "data models," "data pipeline," "data quality," and "data etl," whereas a lead developer is more likely to list skills in "java," "javascript," "architecture," and "c++. "
Lead developers typically earn lower educational levels compared to data warehousing engineers. Specifically, they're 9.8% less likely to graduate with a Master's Degree, and 1.4% less likely to earn a Doctoral Degree.Data warehousing engineer vs. Etl developer
An ETL developer is responsible for managing data storage systems to secure the organization's data and files for daily operations efficiency. ETL developers perform multiple system testing to ensure the system's accuracy, perform coding adjustments, and troubleshoot for any defects and inconsistencies. They work closely with other development teams to design storage functions to optimize solutions. An ETL developer must have extensive knowledge of the technology industry and a strong command of programming languages to develop an accurate and operational database.
Types of data warehousing engineer
Updated January 8, 2025
