QA Automation Lead (Data Engineering)- India
Juniper Square (company site, opens in a new tab)7–10 yrsRemoteDirect career pageEst. 20–35 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end data testing strategy ensuring integrity, accuracy, and performance of data pipelines and analytical platforms.
- Lead design and execution of complex backend and pipeline test cases focusing on data validation in distributed systems and asynchronous processing.
- Partner with data engineering and product teams to define automation-first quality roadmap and oversee release readiness for data platform features.
Minimum Requirements
- 7–10 years of experience in Software Quality Assurance with leadership in full software and data lifecycle testing.
- Bachelor's degree in Computer Science, Data Engineering, or equivalent experience.
- Strong proficiency in SQL and Python with the ability to write complex queries and debug data pipeline code.
- Knowledge of data engineering concepts including ETL/ELT workflows and data warehouse architecture (e.g., Redshift, Snowflake, BigQuery).
Ideal Candidate Profile
- Experienced leader in QA automation with track record of building scalable test frameworks integrated with CI/CD pipelines.
- Familiar with AI-powered testing tools (e.g., Cursor, Augment, Gemini) for accelerating test development and debugging.
- Able to manage complex release cycles for data features, ensuring high data quality and governance standards in fast-paced Agile teams.