Data Warehouse Developer Resume Example
Use this example to learn how to format and structure your Data Warehouse Developer resume for maximum impact.
Jordan Stevens
Data Warehouse Developer
Professional Experience
Senior Data Warehouse Developer
BlueSky Analytics
April 2020 – Present
- Designed and implemented ETL pipelines using Apache Airflow and SQL Server Integration Services (SSIS) for marketing and finance departments.
- Reduced daily ETL failures by 35% through proactive error handling and job orchestration.
- Collaborated with BI analysts to optimize Snowflake warehouse queries and improve report refresh rates by 60%.
Data Engineer
RetailLogic Corp.
June 2016 – March 2020
- Developed data ingestion processes from CRM and POS systems using Python and Talend ETL.
- Created dimensional data models to support executive dashboards for sales forecasting.
- Automated data quality checks that increased pipeline reliability and reduced analyst validation time by 40%.
Projects
Enterprise Data Warehouse Migration
Led the migration of legacy Oracle-based warehouse to Snowflake, involving re-architecture of 200+ ETL jobs and performance tuning of analytic queries. Enabled faster data access for 12 departments.
How to Format Your Data Warehouse Developer Resume
Follow these guidelines to make your resume visually appealing and easy to read by hiring managers in the game industry.
Key Formatting Guidelines
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Use a hybrid format highlighting both technical proficiencies and project impact.
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Include a brief summary focusing on data engineering and analytics outcomes.
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Prioritize technical stack tools relevant to modern data warehousing.
Data Warehouse Developer Resume Writing Tips
Maximize the impact of your resume with these tips, especially curated for aspiring or experienced Data Warehouse Developers.
Content Optimization Tips
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Highlight ETL tools, cloud data platforms, and warehouse technologies you’ve used.
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Quantify your impact using performance, reliability, and speed improvements.
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Include collaborative efforts with business or BI teams to show cross-functional value.
✓ Do's
- List specific tools and languages (e.g., Snowflake, SQL, Airflow, Python).
- Include completed certifications to validate expertise.
- Mention experience improving query performance or reducing latency.
✗ Don'ts
- Avoid listing generic 'data management' skills without context.
- Don't use overly technical jargon without linking to business value.
- Do not leave out measurable achievements from past roles.
Common Data Warehouse Developer Resume Mistakes
Avoid these frequent mistakes to make your resume stand out and reflect your professionalism.
Mistakes to Avoid
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Failing to demonstrate how your work improved reporting or business decisions.
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Listing too many unrelated tools without focusing on your core strengths.
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Using outdated technologies without context or updates.
Data Warehouse Developer Salary Information
The salary for a Data Warehouse Developer varies based on experience, location, and technical stack expertise.
Expected Range: $90,000 - $135,000
- Entry-level: $80,000 - $100,000
- Mid-level: $100,000 - $120,000
- Senior-level: $120,000 - $135,000+
Data Warehouse Developer Skill Requirements
Education and Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or related field
Experience
- 2–5 years of experience building and managing data pipelines
- Experience with modern data warehouse platforms like Snowflake or Redshift
Certifications
- Snowflake SnowPro Core
- Google Cloud Data Engineer (optional)
Technical Skills
- SQL
- ETL Tools (SSIS, Talend, Airflow)
- Data Modeling
- Cloud Data Warehousing
- Python/Scala
Soft Skills
- Analytical Thinking
- Problem-Solving
- Team Collaboration
- Attention to Detail
Additional Resources
Learn more about the career path, skills need as well as salary ranges for the role as Data Warehouse Developer