ETL Test Lead
Data Semantics · Hyderabad · onsite · Posted 52d ago
Undisclosed4–7 yrsfulltimeSourced from
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About this role
About the Role
We are seeking a highly skilled to oversee and guide end-to-end testing of ETL and Data Warehouse (DWH) systems across multiple projects. The ideal candidate will have a solid background in data testing, validation, and automation, combined with strong leadership and stakeholder management skills.
You ll lead a team of testers to ensure the integrity, accuracy, and completeness of enterprise data
across complex transformation and migration pipelines.
Key Responsibilities - Lead and manage the ETL / DWH QA team throughout the test lifecycle - planning, execution, reporting, and sign-off.
- Design and implement test strategies, test plans, and data validation frameworks for ETL and DWH applications.
- Perform and guide data validation, reconciliation, and transformation testing across multiple sources and targets.
- Review and validate ETL mappings, workflows, and data models to ensure adherence to business requirements.
- Write and review complex SQL / PL-SQL / Spark SQL queries for data validation and root-cause analysis.
- Collaborate with data engineers, developers, and business analysts to resolve defects and data discrepancies.
- Oversee test automation initiatives using Python, PySpark, Databricks, or other frameworks.
- Ensure comprehensive defect management and reporting using JIRA or similar tools.
- Conduct peer reviews, mentor junior QA members, and ensure continuous process improvements.
- Strong hands-on experience in ETL Testing / Data Warehouse Testing.
- Expertise in SQL, PL/SQL, Spark SQL, HiveQL - strong query-writing and debugging skills.
- Experience with ETL tools: Informatica, Talend, Databricks, or similar.
- Hands-on with databases: Oracle, Snowflake, MySQL, PostgreSQL.
- Familiarity with Big Data platforms (Databricks, Delta Lake, AWS S3).
- Good understanding of data transformation logic, mapping documents, and business rules.
- Experience with test management and defect tracking tools (JIRA, ALM, Zephyr).
- Working knowledge of UNIX/Linux for job monitoring and log analysis.
- (Preferred) Exposure to BI report validation (Power BI, SAP BO).
- Experience in leading QA teams (3-8 members) in an Agile environment.
- Ability to define QA strategy, estimate effort, and ensure timely deliverables.
- Strong stakeholder management - coordinate with development, business, and DevOps teams.
- Excellent problem-solving and decision-making abilities under tight deadlines.
Bachelor s degree in engineering, Computer Science, or related field (BE / B.Tech / MCA).
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
InformaticaAgilePostgresqlOracle DBUnixdebuggingPythonMySQLPLSQLLinux
About Data Semantics
Data Semantics
IT Services & Consulting
300
employees
2012
14 years old
Bangalore / Bengaluru, Karnataka
AE
₹10.6L PA avg
Avg at Data Semantics
About
Data Semantics is a data science company with a vision to empower every organization to harness the full potential of its data assets.
Industries
IT Services & ConsultingAnalytics & KPOSoftware Product
Employee ratings
10 reviews
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Culture
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