Senior Data Engineer (AWS Data Platform)
Accylerate · United States · 2 wk ago
RemoteRemoteInformation TechnologyContract
Job Duties & Responsibilities
- Define the end-to-end testing scope based on solution architecture and project documentation
- Design and implement a comprehensive testing strategy and plan aligned with organizational QA standards
- Develop and maintain test scripts and frameworks for the Redshift serverless platform
- Perform Testing Across Key Technologies, Including AWS Redshift, AWS DMS (Data Migration Service), AWS Glue, PySpark, Deequ, Event Bridge, Data Lakes, Python-based data pipelines, Apache Airflow, dbt (data build tool)
- Build And Implement Automated Testing Solutions To Ensure End-to-end data validation
- Data ingestion accuracy
- Transformation logic integrity
- Data pipeline reliability
- Conduct test coverage analysis and ensure adequate validation across all data engineering workflows
- Prepare and manage test data
- Review And Provide Feedback On Solution architecture, data models, design, and technical documentation
- Collaborate with cross-functional teams (Data Engineering, BI, DevOps, Product) to: Identify testing impacts, mitigate risks, Ensure high-quality deliverables
Required Skills & Experience
- Proven experience in data engineering testing / data QA / ETL validation
- Strong hands-on experience with AWS data services (Redshift, Glue, DMS)
- Proficiency in Python for test automation and validation
- Experience with Airflow and orchestration testing
- Hands-on experience with dbt and data transformation validation
- Experience with CDK for infrastructure validation
- Experience in BI testing in Quicksuite will be highly beneficial
- Experience with data quality tools such as PySpark Deequ or similar
- Strong Understanding Of Data warehousing concepts, ETL/ELT pipelines, data validation techniques (schema, reconciliation, anomaly detection)
Preferred Qualifications
- Experience designing enterprise-level test strategies for data platforms
- Knowledge of CI/CD pipelines for data and test automation
- Experience working in Agile / Scrum environments
- Familiarity with data observability frameworks