We are looking for an experienced Senior QA / ETL Testing Lead with strong expertise in data warehouse and ETL testing. The ideal candidate should have excellent communication skills, the ability to lead teams across onsite and offshore models, and hands-on experience validating large-scale enterprise data systems.
Review business and technical requirements and prepare detailed test plans
Develop and execute ETL test plans, test cases, and test scripts
Validate data mappings, transformations, and loading processes
Perform various types of ETL testing including:
Metadata Testing
Data Completeness Testing
Data Accuracy Testing
Data Transformation Testing
Data Quality Testing
Initial and Incremental Load Testing
Validate data using SQL queries and verify results against business expectations
Perform data reconciliation between source and target systems
Collaborate with data architects and engineering teams to ensure data quality and integrity
Participate in enterprise-level projects, preferably within the E-commerce domain
Provide regular status reports and act as a proactive problem solver
Coordinate between onshore and offshore teams for smooth testing execution
Interact with customers and work independently on daily deliverables
Demonstrate flexibility and ownership throughout the project lifecycle
8–10 years of experience in QA and ETL/Data Testing
Strong knowledge of data warehousing concepts including:
Dimensional modeling
Star and snowflake schemas
Facts and dimensions
Hands-on experience in database validation using SQL
Strong communication and stakeholder management skills
Experience working in large enterprise environments
Ability to lead teams in an onsite–offshore delivery model
Domain experience in E-commerce / Online Shopping / Sales & Stores
Experience working with large-scale data platforms
Skills Required
- 8-10 years experience in QA and ETL/Data Testing
- Hands-on experience validating databases using SQL
- Experience developing and executing ETL test plans, test cases, and test scripts
- Strong knowledge of data warehousing concepts (dimensional modeling, star and snowflake schemas, facts and dimensions)
- Ability to lead teams in an onsite-offshore delivery model and stakeholder management
- Experience working in large enterprise environments
- Domain experience in E-commerce / Online Shopping / Sales & Stores
- Experience working with large-scale data platforms
What We Do
Indium is an AI-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative AI, Product Engineering, Intelligent Automation, Data & AI, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact. With 5000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology—driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an AI-first world.
