IN_Manager_QA Automation_Data Analytics_Advisory_Bangalore

Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

• Define and lead test strategies for data-intensive systems, ensuring alignment with quality and compliance goals.

• Design and implement scalable automation frameworks for ETL/ELT pipelines and cloud-based data platforms.

• Guide a team of QA engineers, driving best practices in test automation, data validation, and performance testing.

• Integrate automated tests into CI/CD workflows using tools like Jenkins, GitHub Actions, or Azure DevOps.

• Collaborate with engineering, data, and business teams in Agile environments to ensure quality across the development lifecycle.

• Report key QA metrics and provide risk-based recommendations for release readiness.

• Stay current with testing trends, including AI-powered automation tools.

Mandatory skill sets:

• Strong background in ETL testing, data quality, and SQL.

• Experience with ETL tools

• Proficiency in test automation (Python, Java, PyTest, Selenium).

• Solid understanding of cloud platforms (AWS, Azure) and CI/CD.

• Familiar with Agile/Scrum practices and stakeholder collaboration.

Preferred skill sets:

• Working knowledge of AWS.

• Understanding of DevOps practices

• Team Handling

• Client Facing

Years of experience required:

8-12

Education qualification:

B.Tech / M.Tech / MBA / MCA