Chief Data Quality Assurance Officer

4 days ago


Kollam, Kerala, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About the Role

We are seeking a seasoned testing professional to lead comprehensive testing strategy and execution for complex data engineering pipelines and product delivery initiatives. This role requires driving quality assurance across integrated systems, data workflows, and customer-facing applications while coordinating cross-functional testing efforts.

The ideal candidate will have primary responsibilities including:

  • Designing and implementing end-to-end testing frameworks for data pipelines, ETL/ELT processes, and analytics platforms.
  • Ensuring test coverage across ETL/ELT, data transformation, lineage, and consumption layers.
  • Developing integrated testing strategies spanning multiple systems, APIs, and data sources.

The successful candidate will also have experience in:

  • Creating comprehensive test suites for data ingestion, transformation, and output validation.
  • Designing data quality checks, schema validation, and performance testing for large-scale datasets.
  • Implementing automated testing for streaming and batch data processing workflows.
  • Validating data integrity across multiple environments and systems and against business rules.

In addition, the candidate will be responsible for:

  • Collaborating with data engineers, software developers, product managers, and DevOps teams.
  • Coordinating testing activities across multiple product streams and release cycles.
  • Managing testing dependencies and critical path items in complex delivery timelines.
Requirements

To succeed in this role, you will need:

  • 10+ years of software testing experience, with at least 3 years of leadership roles.
  • 8+ years of experience testing data engineering systems, ETL pipelines, or analytics platforms.
  • A proven track record with complex, multi-system integration testing.
  • Experience in agile/scrum environments with rapid delivery cycles.
  • Strong SQL skills, with expertise in 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.


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