Description

You will own the testing strategy and execution for data pipelines.

This role is on-site.

Responsibilities

• Own end-to-end test strategy for data pipelines across Dev, Test, and Prod environments.
• Design and implement Python automation frameworks for ETL/ELT validation, covering schema, data quality, and SCD logic.
• Build reusable test libraries for Databricks notebooks, jobs, and tables.
• Implement CI/CD-integrated integration and regression tests for data workloads.
• Convert manual use cases to automated tests to ensure comprehensive coverage.

Required Skills

• 6-8 years in QA/Testing, with 3+ years focused on data/ETL testing in cloud environments.
• Strong hands-on experience with Python for test automation and data manipulation.
• Proficiency in SQL and ETL testing principles.
• Experience with Data Pipelines, Databricks, and PySpark.
• Familiarity with Data Modeling and Cloud Computing concepts.
• Knowledge of CI/CD practices and API/CLI automation.

Preferred Skills

• Experience with deduplication and aggregation validation.

Key Skills

Education

Any Graduate