QA Lead - AI & ETL

Develop and execute data-driven QA strategies, leveraging SQL, Python, or other tools to test and monitor large datasets. Integrate test case execution and reporting within the CI/CD pipeline to align with the DevOps strategy, criteria, requirements, and user stories.

• Act as a QA Lead in a AI environment
• Agentic and LLM or similar a huge plus
• Develop and execute data-driven QA strategies, leveraging SQL, Python, or other tools to test and monitor large datasets.
• Integrate test case execution and reporting within the CI/CD pipeline to align with the DevOps strategy, criteria, requirements, and user stories
• Work in the SDET capacity to automate early in conjunction with other engineer's efforts to build systems.

 

Requirements

• 8+ years of ETL / Data Warehouse/ Big data/ Data Platform experience.
• 6+ years of progressive experience in Data Quality Assurance, Data Governance, or Regulatory Projects
• Strong hands-on experience in database technologies preferably Oracle and PostgreSQL. Experience in writing complex SQL and PL/SQL scripts for querying data.
• Experience with ETL Processes (Data Warehouse) and BI tools (QlikSaas, Tableau etc.,).
• Experience creating reusable code/scripts for Automated Framework using Python (Pandas, Numpy, Requests, Boto3)
• Strong hands-on experience with Kafka Data streams, APIs, webservices and Microservices.
• Experience with processes and deliverables in an Agile/SCRUM environment