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Job Description
Structured overview of role & requirementsAbout This Role
Design, execute, and automate test strategies for ETL pipelines, data warehouses, and data integration workflows ensuring data accuracy and reliability.
Perform source-to-target validation, data reconciliation, transformation testing, and data quality checks using complex SQL queries across multiple databases and platforms.
Leverage GenAI/AI tools to enhance test case generation, automation, defect analysis, and overall QA productivity in ETL and data validation processes.
Minimum Requirements
5+ years of hands-on experience in ETL/Data Warehouse testing including test automation and SQL proficiency.
Experience with writing complex SQL queries and validating data transformations, data quality, and ETL workflows.
Proficiency with test automation tools/frameworks such as Python, Selenium, or PyTest specifically for ETL/data validation automation.
Work Location: Hyderabad with Hybrid work mode (3 days WFO per week). Immediate joiners preferred.
Ideal Candidate Profile
Experienced in working with cloud/data platforms like AWS, Azure, Snowflake, or Databricks and databases such as SQL Server, PostgreSQL, MySQL, or Oracle.
Proven track record of integrating GenAI/AI-assisted testing tools (e.g., ChatGPT, GitHub Copilot) to optimize test design, execution, and defect analysis.
Analytical professional capable of independently handling complex data flows, identifying test coverage gaps, and driving automation initiatives within an Agile QA environment.