Data Engineering Professional II
Tasks
- Build data integrations
- Deploy data pipeline solutions on AWS
- Develop data pipelines
- Document engineering work
- Implement data reconciliation
- Improve data models
- Monitor data quality
- Perform data analysis for troubleshooting
- Support business intelligence dashboards
- Write unit, integration, and performance tests
Perks/Benefits
- Bereavement leave
- Diversity, equity, and inclusion programs
- Employee assistance program
- Employee referral program
- Flexible work environment
- Healthcare insurance
- Home internet reimbursement
- Hybrid working
- Learning platforms
- Maternity leave
- Mobile Phone Reimbursement
- Paternity leave
Skills/Tech-stack
AWS | AWS Lambda | AWS Step Functions | Amazon Aurora | Amazon DMS | Amazon SQS | Big Data | Data Lake | Data Warehouse | Data integration | Database Administration | Databricks | Dimensional Modeling | Graph Databases | LLM prompting | LLMs | Machine Learning | NoSQL | REST API | Retrieval-Augmented Generation | SOAP | SQL | Step Functions | Vector Databases
Education
Roles
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