Key Responsibilities
Analyze business and technical requirements.
Develop comprehensive test scenarios and test cases.
Validate ETL workflows and transformation logic.
Perform source-to-target data validation.
Validate data stored in Databricks and AWS S3.
Write and execute medium to highly complex SQL queries.
Validate DataFrames and PySpark transformations.
Perform backend validation for reports and dashboards.
Execute SIT, Regression, Sanity, and UAT testing.
Collaborate with developers to investigate and resolve data issues.
Participate in Agile ceremonies including Sprint Planning, Daily Standups, and Retrospectives.
Log and track defects using JIRA.
Ensure high-quality delivery of data pipelines.
Mandatory Skills
5+ years of ETL / Data Warehouse Testing
Solid SQL (Complex Query Writing)
Source-to-Target Validation
Data Warehouse Concepts
Databricks
PySpark
DataFrames
AWS S3
Backend Data Validation
Analytical & Problem-Solving Skills
Agile/Scrum
JIRA