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Data warehousing engineer skills for your resume and career

Updated January 8, 2025

2 min read

Below we've compiled a list of the most critical data warehousing engineer skills. We ranked the top skills for data warehousing engineers based on the percentage of resumes they appeared on. For example, 31.6% of data warehousing engineer resumes contained data warehousing as a skill. Continue reading to find out what skills a data warehousing engineer needs to be successful in the workplace.

10 data warehousing engineer skills for your resume and career

1. Data Warehousing

Here's how data warehousing engineers use data warehousing:

Apply Ralph Kimball's methodology for Data Warehousing and Dimensional Data Modeling.
Gained a strong understanding of the design and development methodologies for implementing Business Intelligence Data Warehousing solutions.

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.

Here's how data warehousing engineers use data warehouse:

Worked on designing a data warehouse to report daily sales for different insurance products offerings.
Designed and implemented a new HR data mart in the data warehouse.

3. Data Models

Here's how data warehousing engineers use data models:

Migrated SSRS reports and data modeling projects from 2005 to 2008.
Performed data analysis, defined logical data model and developed reports using Micro Strategy's decision support tools.

4. Data Pipeline

Here's how data warehousing engineers use data pipeline:

Developed code to create dashboards or reports, enabling executives, technical leads, and product managers to monitor the data pipeline
Developed data pipelines to parse raw data to store in partitioned hive tables for reporting and analysis.

5. PL/SQL

Here's how data warehousing engineers use pl/sql:

Worked on Agile model of SDLC Skills: PL/SQL, Oracle Warehouse Builder, Unix
Used Materialized View and customized PL/SQL procedures for data transformation between two different systems.

6. Data Quality

Here's how data warehousing engineers use data quality:

Designed a data quality check application to identify data glitches and automatically clean data to minimize distortion and maximize accuracy.
Collaborated and coordinated with development teams to deploy data quality solutions, while creating and maintaining standard operating procedure documentation.

7. Code Reviews

Code review is a methodical examination of computer source code designed to find and correct errors that go unnoticed in the early stages of development. This generally improves the value of the software and the skills of the developer. Code reviews are important because they improve code quality and make your codebase more stable. They also help programmers build relationships and work together more effectively. Typically, a code review process is performed before merging it with the codebase.

Here's how data warehousing engineers use code reviews:

Participated in design reviews, conducted code reviews and collaborated with end users to analyze requirements.
Conducted code reviews and monitored programmers, ensuring adherence to programming and documentation standards and policies.

8. Unix

UNIX is a computer operating system that was first created in the 1960s and has been constantly updated since then. The operating system refers to the set of programs that enable a machine to function. It is a multi-user, multi-tasking device that works on computers, laptops, and servers. UNIX systems also have a graphical user interface (GUI), similar to Microsoft Windows, that makes it simple to use.

Here's how data warehousing engineers use unix:

Participated in release of avionics telephony unit, with responsibility expanding from hardware integration to software development in Unix environment.
Designed and developed a remote-user authentication module for UNIX platforms using PAM.

9. Snowflake

Here's how data warehousing engineers use snowflake:

Star and Snowflake data models are designed based on the need which greatly helped in creating data marts.
Star and Snowflake schemas are developed in order to meet the reporting requirements of Data Mart.

10. Teradata

Here's how data warehousing engineers use teradata:

Transformed and loaded the data into the Teradata Target Database.
Out of Box failure parts analysis and repair for Teradata customers

What skills help Data Warehousing Engineers find jobs?

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List of data warehousing engineer skills to add to your resume

The most important skills for a data warehousing engineer resume and required skills for a data warehousing engineer to have include:

Data Warehousing
Data Warehouse
Data Models
Data Pipeline

PL/SQL
Data Quality
Code Reviews
Unix

Snowflake
Teradata

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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