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.