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Data warehouse developer skills for your resume and career

Updated January 8, 2025
4 min read
Quoted experts
Saquib Ahmed Ph.D.,
Hongshik Ahn
Data warehouse developer example skills
Below we've compiled a list of the most critical data warehouse developer skills. We ranked the top skills for data warehouse developers based on the percentage of resumes they appeared on. For example, 7.8% of data warehouse developer resumes contained etl as a skill. Continue reading to find out what skills a data warehouse developer needs to be successful in the workplace.

15 data warehouse developer skills for your resume and career

1. ETL

Here's how data warehouse developers use etl:
  • Prepared ETL design specification documents with information on implementation of business logic and specifications of the job flow.
  • Created requirements/tasks for creating a new Data Warehouse and designed and developed ETL templates with centralized metadata.

2. 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.

Here's how data warehouse developers use java:
  • Set up Active Directory integration, Oracle connectivity, customized Java integration and configured the instance.
  • Received professional training over Java programming and Big Data development skills.

3. Hadoop

Hadoop is an open-source software and procedures framework that is free for anyone to use on the internet. Hadoop aids in big data operations. It allows massive data storage, applications to be run on commodity hardware, and can easily manage to run various tasks occurring at the same time.

Here's how data warehouse developers use hadoop:
  • Designed and developed data integration programs in a Hadoop environment with NoSQL data store Cassandra for data access and analysis.
  • Translated functional and technical requirements into detail programs running on Hadoop MapReduce and Spark.

4. 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 warehouse developers use data warehouse:
  • Implemented Surrogate key by using Key Management functionality for newly inserted rows in Data warehouse which made data availability more convenient.
  • Participated in the identification of key performance indicators and methods for data warehouse to assist with operational and strategic planning.

5. Visualization

Here's how data warehouse developers use visualization:
  • Performed visualizations according to business requirements on custom visualization tool built in Angular JS.
  • Generated standard reports and provided assistance for data visualization and reporting with Tableau.

6. Data Analysis

Here's how data warehouse developers use data analysis:
  • Worked with business user, Business analyst and trading assistant on requirement gathering of the reports requirements, underlying data analysis.
  • Perform data analysis to ensure accuracy and integrity of data by understanding business context.

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7. BI

Here's how data warehouse developers use bi:
  • Proposed BI solutions for better performance of business by interacting with business stakeholders and created highly used and successful products.
  • Assisted Supply chain analysts with automating reporting functionality using Power BI tools.

8. 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.

Here's how data warehouse developers use ssis:
  • Improved the performance of SSIS packages by implementing parallel execution, removing unnecessary sorting and using optimized queries.
  • Developed Dynamic packages using SSIS and Implemented Incremental Data Loading.

9. Power Bi

Here's how data warehouse developers use power bi:
  • Design and Developed OLAP cubes using SSAS 2012 and Reports using SSRS 2012 and Power BI Designer for various business modules.
  • Trained end users on Power BI.

10. Data Quality

Here's how data warehouse developers use data quality:
  • Identified patterns, data quality issues, and opportunities and leveraged insights by communicating opportunities with business partners.
  • Recommended data modeling and ETL design changes, improving maintainability, data quality and system performance and reliability.

11. Data Warehousing

Here's how data warehouse developers use data warehousing:
  • Developed and supported Data Marts using various Data Warehousing techniques.
  • Maintain and manage technical metadata for data warehousing environments.

12. Azure

Here's how data warehouse developers use azure:
  • Design and Implement Database Schema, Disease data and build stored procedures on SQL Azure.
  • Used PowerBI and designed few reports on MS AZURE cloud platform.

13. 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 warehouse developers use unix:
  • Developed Unix scripts for transforming data into different databases.
  • Developed Unix Scripts to run multiple Data Stage jobs in sequence, parallel and to control the dependencies at every stage.

14. Linux

Linux is a Unix-like operating system. Just like Windows, Mac OS, and IOS, Linux is an operating system used by millions across the globe. Android itself is powered by the Linux operating system. Linux manages all the hardware resources that are associated with your computer. The software is famous because of the protection it grants from viruses, malware, and crashes. The Linux operating system is entirely free and is an open-source software meaning it can be altered by those equipped with the knowledge to code.

Here's how data warehouse developers use linux:
  • Installed and Configured Client tier on Windows XP, Engine and Services Tiers on Red Hat Linux machines.
  • Developed, modified and executed Perl and MySQL scripts from Linux command line.

15. HBase

Here's how data warehouse developers use hbase:
  • Developed MR jobs for bulk insertion of Walmart's customer and item data from files to HBASE, Cassandra.
  • Implemented HBASE for creating tabular data.
top-skills

What skills help Data Warehouse Developers find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What data warehouse developer skills would you recommend for someone trying to advance their career?

Saquib Ahmed Ph.D.

Assistant Professor, Engineering Technology, SUNY Buffalo State

A combination of fundamental scientific understanding married with data science knowledge (machine learning, neural networks, etc.); it is crucial to juxtapose these against the backdrop of industrial landscape, as well as state & federal policies.

What type of skills will young data warehouse developers need?

Hongshik AhnHongshik Ahn LinkedIn profile

Professor, Graduate Program Director for Ph.D. Program, Stony Brook University

Mastery of programming languages, analytical skills

List of data warehouse developer skills to add to your resume

Data warehouse developer skills

The most important skills for a data warehouse developer resume and required skills for a data warehouse developer to have include:

  • ETL
  • Java
  • Hadoop
  • Data Warehouse
  • Visualization
  • Data Analysis
  • BI
  • Ssis
  • Power Bi
  • Data Quality
  • Data Warehousing
  • Azure
  • Unix
  • Linux
  • HBase
  • Strong Analytical
  • SSRS
  • Data Lake
  • HDFS
  • Microsoft SQL Server
  • PL/SQL
  • T-SQL
  • Extraction
  • SSAS
  • Database Objects
  • Data Flow
  • Schema
  • MapReduce
  • XML
  • Data Models
  • Sqoop
  • Error Handling
  • Data Marts
  • Apache Kafka
  • Oracle Sql
  • Business Analysts
  • Repository
  • DB2
  • OLAP
  • Apache Spark
  • Snowflake
  • Technical Specifications
  • Jenkins
  • Teradata
  • Profiling
  • Source Systems
  • Debugging
  • QA

Updated January 8, 2025

Zippia Research Team
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.

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