ETL QA – Technical Lead
Experience: 7 to 11 Years
Job Locations: Gurgaon (1 position)
Job Summary:
We are looking for a highly skilled and detail-oriented ETL QA – Technical Lead with strong experience in Big Data Testing, Hadoop ecosystem, and SQL validation. The ideal candidate should have hands-on experience in test planning, execution, and automation in a data warehouse/ETL environment. You’ll work closely with cross-functional teams in an Agile environment to ensure the quality and integrity of large-scale data solutions.
Key Responsibilities:
- Lead end-to-end testing efforts for data/ETL pipelines across big data platforms.
- Design and implement test strategies for validating large datasets, transformations, and integrations.
- Perform hands-on testing of Hadoop-based data platforms (HDFS, Hive, Spark, etc.).
- Develop complex SQL queries for data validation and business rule testing.
- Collaborate with developers, product owners, and business analysts in Agile ceremonies.
- Own test planning, test case design, defect tracking, and reporting for assigned modules.
- Identify areas of automation and build reusable QA assets.
- Drive QA best practices and mentor junior QA team members.
Required Skills:
- 7–11 years of experience in Software Testing, with at least 3+ years in Big Data/Hadoop testing.
- Strong hands-on experience in testing Hadoop components like HDFS, Hive, Spark, Sqoop, etc.
- Proficient in SQL (complex joins, aggregations, data validation).
- Experience in ETL/Data Warehouse testing.
- Familiarity with data ingestion, transformation, and validation techniques.