Data Test Manager

Role Summary:

We are looking for a highly skilled Data Subject Matter Expert (SME) to lead test strategy development and perform exploratory testing across our data pipelines and Azure-based data platform. The ideal candidate has a strong understanding of data quality assurance, Azure services, and data lifecycle, with hands-on experience testing complex ETL/ELT workflows and ensuring data reliability, accuracy, and compliance.

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.
• Investment background is a plusJob Title\: Data SME – Test Strategy & Exploratory Testing (Azure Data Platform)

• Location\: Bangalore

• Experience Level\: 5+ years in Data Testing / Data Engineering / QA

• Type\: Contract

• Role Summary:

• We are looking for a highly skilled Data Subject Matter Expert (SME) to lead test strategy development and perform exploratory testing across our data pipelines and Azure-based data platform. The ideal candidate has a strong understanding of data quality assurance, Azure services, and data lifecycle, with hands-on experience testing complex ETL/ELT workflows and ensuring data reliability, accuracy, and compliance.

• 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.
• Investment background is a plus