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Tech Stack
Tools & technologiesAirflowAmazon RedshiftAzureBigQueryCloudETLInformaticaPythonSQL
About the role
Key responsibilities & impact- Design and execute end-to-end data validation strategies for ETL/ELT pipelines
- Validate data accuracy, completeness, and integrity across cloud data warehouses
- Develop and optimize complex SQL queries for data validation and analysis
- Perform functional, regression, and integration testing for data workflows
- Collaborate with data engineers, analysts, and product teams to understand business rules and data transformations
- Build and maintain automated test frameworks for data validation
- Ensure adherence to data quality standards and governance policies
- Identify defects, track issues, and ensure timely resolution
- Mentor junior QA engineers and drive QA best practices
Requirements
What you’ll need- 8+ Years of experience in Data QA / ETL Testing
- Strong experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse, Microsoft Fabric)
- Excellent SQL skills (Complex joins, window functions, aggregations, Query optimization and performance tuning)
- Experience testing ETL/ELT pipelines (e.g., using Airflow, DBT, Informatica, etc.)
- Strong understanding of data warehousing concepts (Star/Snowflake schemas)
- Familiarity with test automation tools or scripting (Python preferred)
- Exposure to CI/CD pipelines and DevOps practices is desirable
- Experience with API and backend testing is a plus.
Benefits
Comp & perks- Remote 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
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Hard Skills & Tools
SQLETL testingELT testingdata validationdata analysistest automationdata warehousingAPI testingbackend testingperformance tuning
Soft Skills
collaborationmentoringproblem-solvingcommunicationattention to detailleadershiporganizational skillsadherence to standardsissue trackingbest practices
