
Senior Manager, Data Engineering Integration
2 days ago
About us:
One of the world's largest employers, we have locations in over 100 countries.
We serve as innovation and operations hubs to expand our global talent base and in-house expertise.
We bring together knowledge across business, technology, analytics, and AI to accelerate impactful solutions for our business and customers worldwide.
Job Summary:
Sr. Manager, Integrated Test Lead – Data Product Engineering & Delivery
(Sr Manager, Technology Testing)
This role is responsible for comprehensive testing strategy and execution for complex data engineering pipelines and product delivery initiatives.
Key Responsibilities:
- Create 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:
- Design comprehensive test suites for data ingestion, transformation, and output validation.
- Create 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 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.
Required Skills and Qualifications:
- 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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