Description

You will ensure the quality and reliability of ETL processes and data integration workflows through automated testing and validation.

Responsibilities

  • Design, develop, and execute automation test frameworks and scripts to validate data transformation and migration.
  • Review technical design documents and requirements to provide feedback and implement test strategies for complex initiatives.
  • Estimate, prioritize, and coordinate testing activities while tracking quality metrics such as defect densities.
  • Identify, document, and track bugs through root cause analysis and perform regression testing.
  • Collaborate with data engineers, developers, and cross-functional business teams to resolve data quality issues.

Required Skills

  • 10+ years of IT experience with at least 5 years focused on ETL testing and automation framework development.
  • Mandatory proficiency in PySpark.
  • Strong SQL skills with experience handling big data using ETL tools like Informatica.
  • Experience testing in AWS environments, specifically using S3.
  • Proven experience with Test Automation and DevOps practices within ETL and Cloud workflows.
  • Experience providing testing oversight within Agile teams.
  • Proficiency in at least one scripting language for test case development.
  • Strong problem-solving, troubleshooting, and root cause analysis capabilities.
  • Ability to guide and support junior team members.

Education

Any Graduate