
Senior Manager, Data Engineering Testing Lead
1 day ago
We are looking for an experienced Senior Manager to lead comprehensive testing for our data engineering and product delivery initiatives. The ideal candidate will have a strong background in software testing, with a focus on data engineering systems, ETL pipelines, and analytics platforms.
- 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
Requirements:
- 10+ years in software testing with 3+ years in leadership roles
- 8+ year experience testing data engineering systems, ETL pipelines, or analytics platforms
- Proven track record with complex, multi-system integration testing
- Experience in agile/scrum environments with rapid delivery cycles
- 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
- Strong project management and organizational skills
- Excellent verbal and written communication abilities
- Experience managing multiple priorities and competing deadlines
Work Details:
- Work location: Hyderabad, India
- Work pattern: Full time role
- Work mode: Hybrid
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