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Common QA title in Pune raises competition, but ETL/data specialization and required skills narrow the candidate pool.
High: requires specialized ETL/data-warehouse, SQL, CDC and data-quality testing skills not widely transferable.
High: multiple mandatory technical requirements (SQL, ETL tools, data warehousing, Python, CI/CD) required.
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Design, write, and execute complex test cases and SQL-based validations for ETL/ELT pipelines and data ingestion jobs, including batch and incremental/CDC processing.
Develop, maintain, and embed automated data-quality checks and regression suites into CI/CD pipelines, ensuring data transformation accuracy and performance.
Manage defect lifecycle including logging, tracking, root cause analysis, and retesting in collaboration with data engineers; contribute to data-quality frameworks and reporting.
Strong SQL skills including complex joins, window functions, aggregations, and analytical queries for validation.
Hands-on ETL/ELT testing experience with relevant tools (e.g., Informatica, Talend, SSIS, dbt, Azure Data Factory, AWS Glue).
Proficiency in scripting for test automation using Python (pandas) or equivalent and familiarity with cloud data platforms (Snowflake, BigQuery, Databricks, Synapse).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in data warehousing and dimensional modeling (Kimball methodology) with knowledge of fact/dimension tables, SCDs, and referential integrity.
Skilled in validating diverse data-quality dimensions and comfortable working with CI/CD pipelines and defect tracking tools (Git, JIRA).
Adequate understanding of performance and volume testing to verify SLAs and batch windows in data ingestion contexts.