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Niche data/ETL SDET skills and senior (8–12 yrs) reduce applicant density despite Bangalore metro.
Requires specialized Snowflake/ETL QA and Informatica expertise, limiting cross-industry transferability.
Explicit 8–12 years and mandatory Python, Snowflake, Informatica, and QA leadership requirements enforce strict filters.
Lead enterprise test automation framework design and implementation using Python for data validation, ETL/ELT testing, and reconciliation across Snowflake and Informatica platforms.
Own and define the overall QA strategy including test planning, defect governance, quality gate definition, and release-readiness for data platforms.
Provide technical leadership and mentorship to senior QA SDETs, drive QA maturity and governance, and resolve complex data quality and automation challenges.
8–12 years of professional experience.
Expert-level skills in Python scripting and test automation framework design.
Strong expertise in Snowflake, ETL/ELT pipelines, Informatica workflows, and SQL for data warehouse testing and validation.
Location: Hybrid role based in Bangalore.
A hands-on automation expert with deep technical knowledge of data engineering and pipeline testing who can also operate at a strategic leadership level in QA.
Experienced in designing and driving enterprise-wide QA frameworks, quality gates, and metrics for large-scale data platforms.
Skilled in mentoring senior engineers and influencing cross-team quality practices without impacting delivery velocity.