Data Engineer
Tasks
- Automate data validation and quality controls
- Build AI ready governed data products
- Build production ELT pipelines
- Create dimensional and semantic data models
- Design scalable enterprise data platforms
- Develop reusable data transformation frameworks
- Implement validated auditable data pipelines
- Monitor and troubleshoot production data platforms
- Optimize performance scalability security and governance
- Support sponsor data harmonization and regulatory reporting
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Automated testing | Azure | CI/CD | Change Data Capture | DBT | Data Capture | Data Lineage | Data Quality | Data masking | DataOps | Dimensional Modeling | ELT | ETL | Encryption | Event Driven | Event-driven messaging | Fivetran | Git | GitHub Actions | Glue | GraphQL | Infrastructure as Code | Lambda | Medallion Architecture | Metadata Management | Monitoring | Observability | Power BI | Python | RBAC | REST APIs | Row Level Security | S3 | SQL | Semantic Modeling | Slowly Changing Dimensions | Snowflake | Star Schema | Tableau | Talend | “as-code”
Education
Roles
Regions
Countries
States
Cities
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