QA Manager

Merkle; New Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Merkle is seeking a QA Manager in India to lead QA for Azure Data Factory-based data pipelines and data validation across source to target systems. You will mentor a QA team, design test strategies, and integrate QA within CI/CD workflows while ensuring data governance and security standards are met.

The role emphasizes hands-on automation, collaboration with data engineers, and delivering high-quality data products within project release cycles.

Qualifications

• Must have at least 2 years in a lead role.
• Experience with Azure cloud.
• Testing file-based data lake solutions or Big data based solution.
• 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 with Azure 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 visualization.
• Azure Data Factory
• Exposure to Azure Databricks
• SQL/stored procedure on SQL Server
• ADLS Gen2
• Exposure to Python/ Shell script

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.

Skills

Lead experience

Azure Cloud

Data lake testing

Azure Data Factory

ETL testing

SQL testing

Azure services

Test management tools

CI/CD in DevOps

Data quality frameworks

Python/PySpark

Power BI

Azure Databricks

SQL Stored Procedures

ADLS Gen2

Python/Shell scripting

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure DevOps

JIRA

TestRail

Power BI

Azure Data Factory

Azure Databricks

Job description

Job Description:

Job Description:

Job Description

Details

Project Details

Comments

Business Title

QA Manager

Years of Experience

10+

Job Descreption

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

• 1.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 inETL/data pipeline testing, preferably withAzure Data Factory.
• 6.Proficiency inSQLfor data validation and test automation.
• 7.Familiarity withAzure services: Data Lake, Synapse Analytics, Azure SQL, Key Vault, and Logic Apps.
• 8.Experience withtest management tools(e.g., Azure DevOps, JIRA, TestRail).
• 9.Understanding ofCI/CD pipelinesand integration of QA in DevOps workflows.
• 10.Experience withdata quality frameworks(e.g., Great Expectations, Deequ).
• 11.Knowledge ofPython or PySparkfor data testing automation.
• 12.Exposure toPower BI or other BI toolsfor test result visualization.
• 13.Azure Data Factory
• 14.Exposure to Azure Databricks
• 15.SQL/stored procedure on SQL Server
• 16.ADLS Gen2
• 17.Exposure to Python/ Shell script

Good to have skills

• 1.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 Agile
• 6.Experience with testing SOAP / API projects
• 7.Stakeholder communication
• 8. Microsoft Office

Key responsibiltes

• 1.Lead the QA strategy, planning, and execution for ADF-based data pipelines and workflows.
• 2.Design and implementtest plans, test cases, and test automationfor data ingestion, transformation, and loading processes.
• 3.Validate data accuracy, completeness, and integrity acrosssource 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 maintainautomated data validation scriptsusing tools likePySpark, SQL, PowerShell, or Azure Data Factory Data Flows.
• 6.Monitor and report ondata quality metrics, defects, and test coverage.
• 7.Ensure compliance withdata governance, security, and privacy standards.
• 8.Mentor junior QA team members and coordinate testing efforts across sprints.

Education Qulification

• 1. Minimum Bachelor’s degree in computer science, Information Systems, or related field.

Certification If Any

• 1. Any Basic level certification in AZURE
• 2. Snowflake Associate / Core

Shift timing

12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone

Location:

DGS India - Pune - Indiqube Orchid

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent