Data Tester

Role Summary:

Data Subject Matter Expert (SME)

Key Responsibilities:

• Define and implement comprehensive

  data test strategies

  for cloud-based data platforms (especially Azure).
• Conduct

  exploratory testing

  of data pipelines, transformations, and integrations to identify data quality issues and edge-case failures.
• Collaborate with data engineering and analytics teams to understand data flows, ingestion mechanisms, transformation logic, and business rules.
• Design and execute validation for:
  • Source to target data completeness and correctness
  • Schema evolution handling
  • Data transformation logic validation
  • Performance and scalability of pipelines
• Build or enhance

  test automation frameworks

  and reusable data validation scripts (SQL, PySpark, Python, etc.).
• Monitor and validate data pipeline jobs in

  Azure Data Factory, Databricks, Synapse, or other Azure components

  .
• Create test documentation: strategy docs, test plans, traceability matrices, defect reports, and sign-off criteria.
• Provide guidance and best practices around

  data testing, lineage tracking, data observability, and monitoring

  .

Required Skills & Experience:

• 5+ years

  of experience in data testing data QA data validation roles.
• Proven expertise in defining

  test strategy and QA processes

  for data platforms.
• knowledge of

  Azure Data Services

  :
• Solid

  SQL

  and

  PySpark

  skills must be able to write complex queries for validation.
• Experience in

  exploratory testing

  of data: identifying anomalies, probing logic errors, working without fully defined test cases.
• Exposure to

  CI/CD

  ,

  test automation frameworks

  , version control (Git), and Azure DevOps or similar tools.
• Understanding of data modeling, data lineage, and data governance principles.