Job Description
The purpose of this role is to ensure the developed software meets the client requirements and the business' quality standards within the project release cycle and established processes. To lead QA technical initiatives in order to optimize the test approach and tools.
Must have skills
At least 2 years in a lead role.
Experience with Azure cloud.
Testing file-based data lake solutions or Big data based solution.
Worked on migration or implementation of Azure Data Factory projects.
Solid experience in ETL/data pipeline testing, preferably with Azure Data Factory.
Proficiency in SQL for data validation and test automation.
Familiarity with Azure services: Data Lake, Synapse Analytics, Azure SQL, Key Vault, and Logic Apps.
Experience with test management tools (e.g., Azure Dev Ops, JIRA, Test Rail).
Understanding of CI/CD pipelines and integration of QA in Dev Ops workflows.
Experience with data quality frameworks (e.g., Excellent Expectations, Deequ).
Knowledge of Python or Py Spark for data testing automation.




Exposure to Power BI or other BI tools for test result visualization.
Azure Data Factory
Exposure to Azure Databricks
SQL/stored procedure on SQL Server
ADLS Gen2
Exposure to Python/ Shell script
Valuable to have skills
Exposure to any ETL tool experience.
Any other Cloud experience (AWS / GCP).
Exposure to Spark architecture, including Spark Core, Spark SQL, Data Frame, Spark Streaming, and fault tolerance mechanisms.
ISTQB or equivalent QA certification.
Working experience on JIRA and Agile
Experience with testing SOAP / API projects
Stakeholder communication
Microsoft Office
Key responsibiltes
Lead the QA strategy, planning, and execution for ADF-based data pipelines and workflows.
Design and implement test plans, test cases, and test automation for data ingestion, transformation, and loading processes.
Validate data accuracy, completeness, and integrity acro

📌 Qa Manager Bengaluru
🏢 Dentsu Global Services
📍 Bengaluru