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Mid-level Hyderabad hybrid role with moderate brand and niche data-test skills yields medium competition.
Core data testing skills are transferable across industries, but ML-Ops and governance increase domain specificity.
Explicit 6+ years and mandatory SQL/ETL/ML-Ops, CI/CD and cloud requirements create strict shortlisting.
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Own testing and validation of data processing workflows to ensure accuracy, completeness, and reliability across ETL processes and data transformations.
Collaborate with data engineers, analysts, and stakeholders to design test cases, conduct regression and user acceptance testing, and resolve data quality issues.
Maintain comprehensive test documentation and defect tracking, supporting data quality assurance within product and technology teams.
6+ years of experience as a Senior Data Test Engineer.
Proficiency in advanced SQL queries and test management tools for validating ETL and data warehouse processes.
Experience with AI Agents, Machine Learning Ops (ML-Ops) frameworks, and testing large datasets for BI reports.
Knowledge of testing methodologies including manual, API, automated testing, and familiarity with CI/CD and cloud environments.
Experienced in rigorous data quality assurance within complex data warehousing and analytics environments.
Skilled in problem solving with a multi-angled analytical approach to identify and address complex data quality issues.
Capable of collaborating effectively across diverse technical teams and managing defect resolution lifecycle in hybrid work settings.