Data Test Manager

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 26 days ago

Vacancies: 1 Vacancy

Job Summary

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

Required Experience:

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 dat...

Role Summary:

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