QA Manager

Dentsu Aegis Network Ltd.

Pune District

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+
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Job summary

Dentsu Aegis Network Ltd. in Pune seeks an experienced QA Manager to lead the QA strategy for Azure Data Factory based data pipelines. You will design test plans, automate data validation, and ensure data integrity across source, staging, and target systems.

You will collaborate with data engineers and business analysts to understand data flows, mentor junior QA staff, and drive QA in CI/CD workflows, ensuring quality in every release.

Qualifications

  • Minimum 2 years in a lead QA role.
  • Experience with Azure cloud and data pipelines.
  • Experience with Azure Data Factory projects.
  • Strong SQL for data validation and test automation.
  • Familiarity with CI/CD in DevOps workflows.

Responsibilities

  • Lead QA strategy, planning, and execution for ADF data pipelines.
  • Design test plans, cases, and automation for ingestion, transformation, loading.
  • Validate data accuracy across source, staging, and target stores.
  • Collaborate with data engineers and analysts to ensure test coverage.
  • Develop automated data validation scripts using PySpark/SQL/PowerShell.
  • Monitor data quality metrics and defects; report test coverage.
  • Mentor junior QA members and coordinate sprint testing.

Skills

Azure Cloud
SQL/Data Validation
PySpark
ETL Testing
Test Management
CI/CD DevOps
Data Quality
Python
Power BI

Education

Bachelor’s degree in CS/IS
AZURE Certification (basic)

Tools

Azure DevOps
JIRA
TestRail
Azure Data Factory
Azure Synapse
Power BI

Job description

Job Description:Job DescriptionDetailsProject DetailsCommentsBusiness TitleQA ManagerYears of Experience10+Job DescreptionThe 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 skills1.At least 2 years in a lead role.2.Experience with Azure cloud.3.Testing file-based data lake solutions or Big data based solution.4.Worked on migration or implementation of Azure Data Factory projects.5.Strong experience in ETL/data pipeline testing, preferably with Azure Data Factory.6.Proficiency in SQL for data validation and test automation.7.Familiarity with Azure services: Data Lake, Synapse Analytics, Azure SQL, Key Vault, and Logic Apps.8.Experience with test management tools (e.g., Azure DevOps, JIRA, TestRail).9.Understanding of CI/CD pipelines and integration of QA in DevOps workflows.10.Experience with data quality frameworks (e.g., Great Expectations, Deequ).11.Knowledge of Python or PySpark for data testing automation.12.Exposure to Power BI or other BI tools for test result visualization.13.Azure Data Factory14.Exposure to Azure Databricks15.SQL/stored procedure on SQL Server16.ADLS Gen217.Exposure to Python/ Shell scriptGood to have skills1.Exposure to any ETL tool experience.2.Any other Cloud experience (AWS / GCP).3.Exposure to Spark architecture, including Spark Core, Spark SQL, DataFrame, Spark Streaming, and fault tolerance mechanisms.4.ISTQB or equivalent QA certification.5.Working experience on JIRA and Agile6.Experience with testing SOAP / API projects7.Stakeholder communication8. Microsoft OfficeKey responsibiltes1.Lead the QA strategy, planning, and execution for ADF-based data pipelines and workflows.2.Design and implement test plans, test cases, and test automation for data ingestion, transformation, and loading processes.3.Validate data accuracy, completeness, and integrity across source systems, staging, and target data stores (e.g., Azure SQL, Synapse, Data Lake).4.Collaborate with data engineers, architects, and business analysts to understand data flows and ensure test coverage.5.Develop and maintain automated data validation scripts using tools like PySpark, SQL, PowerShell, or Azure Data Factory Data Flows.6.Monitor and report on data quality metrics, defects, and test coverage.7.Ensure compliance with data governance, security, and privacy standards.8.Mentor junior QA team members and coordinate testing efforts across sprints.Education Qulification1. Minimum Bachelor’s degree in computer science, Information Systems, or related field.Certification If Any1. Any Basic level certification in AZURE2. Snowflake Associate / CoreShift timing12 PM to 9 PM and / or 2 PM to 11 PM - IST time zoneLocation:DGS India - Pune - Indiqube OrchidBrand:MerkleTime Type:Full timeContract Type:Permanent
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