We are looking for a highly skilled and detail-oriented ETL QA – Technical Lead with robust 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 workplace. You’ll work closely with cross-functional teams in an Agile workplace 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.
📌 Etl Qa Technical Lead Haryana
🏢 Important Business
📍 Haryana
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