Data Engineering Professional II
Tasks
- Build data integrations using AWS
- Deploy data pipeline solutions in AWS environments
- Develop and maintain scalable data pipelines
- Document work in engineering wiki
- Implement data reconciliation and data quality monitoring
- Improve data models for business intelligence
- Perform data analysis to troubleshoot data issues
- Write unit, integration, and performance tests
Perks/Benefits
- Bereavement leave
- Diversity, equity, and inclusion programs
- Employee assistance program
- Employee referral program
- Healthcare insurance
- Home internet reimbursement
- Hybrid work environment
- Learning platforms
- Maternity leave
- Mobile Phone Reimbursement
- Paternity leave
Skills/Tech-stack
APIs | AWS | Aurora | Business Intelligence | Data Lakes | Data Migration | Data Migration Service | Data Modeling | Data Pipelines | Data Quality | Data Reconciliation | Data Streaming | Data Warehousing | Data integration | Databricks | Dimensional Modeling | Graph Databases | Integration Testing | LLM | Lambda | NoSQL | Performance Testing | REST | Retrieval-Augmented Generation | SOAP | SQL | SQS | Schema Design | Step Functions | Unit Testing | Vector Databases
Education
Bachelor of Computer Science | Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
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