Data Engineer
Tasks
- Build reusable data processing components
- Collaborate with stakeholders to translate needs into solutions
- Design end-to-end data pipelines
- Develop AWS event driven data workflows
- Document engineering standards and best practices
- Enable analytics reporting data consumption
- Ensure secure data handling and access control
- Implement data ingestion/transformation/validation
- Improve pipeline performance observability and operations
- Maintain data catalog metadata lineage governance
- Manage data quality and testing
- Operate and optimize data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Batch | AWS Glue | AWS Lambda | AWS Step Functions | Access Control | Amazon Athena | Amazon ECS | Amazon EventBridge | Amazon S3 | Automated testing | Bash | CI/CD | Data Catalog | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Warehouse | Data orchestration | Docker | Event Driven | Event-driven architecture | Git | Kubernetes | Metadata | Monitoring | Observability | Power BI | Prefect | Python | SQL | Step Functions
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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