Description

Own QA activities for data and analytics solutions, ensuring data accuracy and quality across ETL pipelines.

This role is on-site.

Responsibilities

• Validate data accuracy, completeness, and reliability across ETL extraction, transformation, and load processes.
• Execute test cases, log defects, and support root cause analysis to improve data quality.
• Participate in PI planning, sprint planning, and Agile ceremonies within a SAFe environment.
• Build product and data understanding to support effective test design for ETL pipelines and databases.
• Track and report testing progress to the QA Manager and stakeholders.

Required Skills

• 2-5 years of experience in Software QA with a focus on ETL and data testing.
• Hands-on experience with SQL and Microsoft SQL Server for database testing.
• Experience contributing to test automation within ETL and data pipelines, including Python.
• Understanding of SDLC, Quality Assurance, and Agile methodologies.
• Experience working across the full test lifecycle and using ETL testing tools.

Preferred Skills

• ISTQB Foundation or Intermediate certification.
• Experience with API testing, SSIS, or cloud platforms (AWS/Azure).

Key Skills

Education

Any Graduate