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Metro-based, generalist Senior Test Engineer role at a known analytics firm increases applicant density.
Data-pipeline and ETL testing focus favors candidates with analytics or data-engineering backgrounds.
Many mandatory technical skills (SQL, ETL, automation, data validation) create strict shortlisting filters.
Define and implement comprehensive test strategies and plans for data engineering and analytics solutions focusing on functional, integration, regression, and data validation testing.
Design and execute detailed test cases including SQL-based data validation and end-to-end ETL/data pipeline testing ensuring data accuracy, integrity, and compliance with business requirements.
Manage defect lifecycle including identification, root cause analysis, collaboration for resolution, and support of regression and user acceptance testing activities.
Proficient in SQL, Data Validation, ETL/Data Pipeline Testing, Test Strategy & Planning, Test Case Design, Data Analytics, and Automation Testing.
Experience in Stakeholder Collaboration and Defect Management is mandatory.
Work Experience Required: Not explicitly mentioned in the JD.
No explicit mention of educational qualifications or notice period.
Experienced in developing and maintaining automated test suites and validation frameworks for complex data environments.
Able to analyze large data sets and identify data anomalies, inconsistencies, and quality issues effectively.
Strong collaboration skills with cross-functional teams including Business Analysts, Data Engineers, and Product Owners to translate requirements into quality assurance processes.