
Senior Data Engineering Test Lead
1 week ago
Deliver exceptional results as a Sr. Manager, leading comprehensive testing strategies and execution for complex data engineering pipelines and product delivery initiatives.
This role involves driving quality assurance across integrated systems, data workflows, and customer-facing applications while coordinating cross-functional testing efforts.
The ideal candidate will possess 10+ years of experience in software testing, with at least 3 years in leadership roles, and 8+ years of experience testing data engineering systems, ETL pipelines, or analytics platforms.
Responsibilities- Test Strategy & Leadership:
- Design and implement end-to-end testing frameworks for data pipelines, ETL/ELT processes, and analytics platforms.
- Ensure test coverage across ETL/ELT, data transformation, lineage, and consumption layers.
- Develop integrated testing strategies spanning multiple systems, APIs, and data sources.
- Establish testing standards, methodologies, and best practices across the organization.
- Data Engineering Testing:
- Create comprehensive test suites for data ingestion, transformation, and output validation.
- Design data quality checks, schema validation, and performance testing for large-scale datasets.
- Implement automated testing for streaming and batch data processing workflows.
- Validate data integrity across multiple environments and systems and against business rules.
- Cross-Functional Coordination:
- Collaborate with data engineers, software developers, product managers, and DevOps teams.
- Coordinate testing activities across multiple product streams and release cycles.
- Manage testing dependencies and critical path items in complex delivery timelines.
- Quality Assurance & Process Improvement:
- Establish metrics and KPIs for testing effectiveness and product quality to drive continuous improvement in testing processes and tooling.
- Lead root cause analysis for production issues and testing gaps.
- Technical Leadership:
- Mentor junior QA engineers and promote testing best practices.
- Evaluate and implement new testing tools and technologies.
- Design scalable testing infrastructure and CI/CD integration.
Key Skills:
- Strong SQL experience with major databases (Redshift, Bigquery, etc.)
- Experience with cloud platforms (AWS, GCP) and their data services
- Knowledge of data pipeline tools (Apache Airflow, Kafka, Confluent, Spark, dbt, etc.)
- Proficiency in data warehousing, data architecture, reporting, and analytics applications
- Scripting languages (Python, Java, bash) for test automation
- API testing tools and methodologies
- CI/CD/CT tools and practices
- Excellent verbal and written communication abilities
- Experience managing multiple priorities and competing deadlines
Work Details:
Hyderabad, India
Full-time role
Hybrid work mode
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