Job Summary
A company is looking for a Data Engineer / QA Analyst to build and safeguard cloud-native data pipelines and quality frameworks.
Key Responsibilities
- Design and maintain cloud-native data pipelines, ingesting and transforming datasets using AWS services
- Implement automated test suites and embed them in the CI/CD pipeline for every build
- Monitor production health and collaborate with teams to refine data models and release plans
Required Qualifications
- 5-8 years of experience in data engineering, QA automation, or related roles, with 2+ years on cloud-hosted systems
- Bachelor's degree in computer science, engineering, data science, or a similar discipline, or equivalent practical experience
- Hands-on experience building ETL/ELT pipelines on AWS with Python, SQL, or PySpark
- Proven ability to design and run automated test suites integrated into CI/CD workflows
- Experience with monitoring pipeline health and application performance using logging and alerting tools
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