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Quality Assurance Manager - Automation Testing
Quality Assurance Manager - Automation TestingPylon • Pune
Quality Assurance Manager - Automation Testing

Quality Assurance Manager - Automation Testing

Pylon • Pune
14 hours ago
Job description

Responsibilities :

  • 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 across source systems, staging, and target data stores(e. g., Azure SQL, Synapse, Data Lake).
  • Collaborate with data engineers, architects, and business analysts to understand data flows and ensure test coverage.
  • Develop and maintain automated data validation scripts using tools like PySpark, SQL, PowerShell, or Azure Data Factory Data Flows.
  • Monitor and report on data quality metrics, defects, and test coverage.
  • Ensure compliance with data governance, security, and privacy standards.
  • Mentor junior QA team members and coordinate testing efforts across sprints.

Requirements :

  • At least 2 years in a lead role.
  • Experience with Azure cloud.
  • Testing file-based data lake solutions or Big Data-based solutions.
  • Worked on migration or implementation of Azure Data Factory projects.
  • Strong experience in ETL / data pipeline testing, preferably with Azure Data Factory.
  • Proficiency in SQL for data validation and test automation.
  • Familiarity withAzure services : Data Lake, Synapse Analytics, Azure SQL, Key Vault, and Logic Apps.
  • Experience with test management tools(e. g., Azure DevOps, JIRA, TestRail).
  • Understanding of CI / CD pipelines and integration of QA in DevOps workflows.
  • Experience with data quality frameworks(e. g., Great Expectations, Deequ).
  • Knowledge of Python or PySpark for data testing automation.
  • Exposure to Power BI or other BI tools for test result visualisation.
  • Azure Data Factory.
  • Exposure to Azure Databricks.
  • SQL / stored procedure on SQL Server.
  • ADLS Gen2
  • Exposure to Python / Shell script.
  • Good to have skills :

  • Exposure to any ETL tool experience.
  • Any other Cloud experience (AWS / GCP).
  • Exposure to Spark architecture, including Spark Core, Spark SQL, DataFrame, Spark.
  • Streaming and fault tolerance mechanisms.
  • ISTQB or equivalent QA certification.
  • Working experience with JIRA and Agile.
  • Experience with testing SOAP / API projects.
  • Stakeholder communication.
  • Microsoft Office.
  • (ref : hirist.tech)

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