Lead Data Engineer

Job Requirements
Data QA Engineer
We are seeking a Data QA Engineer with 6+ years of experience in Data Engineering QA. The ideal candidate is a collaborative team player who can take ownership of end-to-end test cycles, deliver clear outcomes, and manage defects through closure.
Responsibilities
Develop test strategies, plans, scenarios, cases, and test data.
Test data pipelines, ETL/ELT processes, transformations, and large datasets.
Perform data validation, reconciliation, regression, integration, performance, and load testing.
Own test execution, defect management, reporting, and release-readiness recommendations.
Collaborate with engineering, product, and business teams to resolve quality issues.
Build and maintain reusable automated tests using Python and SQL.
Required Skills
Databricks, Airflow, Python, and advanced SQL
AWS Redshift or similar databases/data warehouses
Test management and test-case development
HP ALM or similar test management tools
GitHub and version control
Performance and load testing
Strong data-analysis, troubleshooting, communication, and ownership skills
Desired Skills Which Would Stand Out
AI and machine learning foundations
AI agents and agentic workflows
MCP servers and Retrieval-Augmented Generation (RAG)
Experience testing AI/ML or generative AI solutions
Work Experience
7-10Years

Work arrangement
No