Data Engineer
Tasks
- Automate workflows
- Build data pipelines
- Collaborate with stakeholders on requirements
- Design data models
- Ensure pipeline observability logging monitoring
- Implement RBAC and RLS
- Implement data validation logic
- Ingest transform validate deliver data
- Maintain documentation data dictionaries flow diagrams
- Publish curated datasets to Power BI and Fabric Lakehouses
- Version control and automate deployments
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Synapse | Azure Synapse Analytics | Azure Synapse Pipelines | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Security | Data Validation | Dimensional Modeling | GitHub Actions | HIPAA | Infrastructure as Code | Logic Apps | Microsoft Fabric | Power BI | Python | RBAC | RLS | SCD Type-2 | SQL | Slowly Changing Dimensions | Snowflake Schema | Star Schema | Surrogate keys | Synapse Analytics | Synapse Pipelines | Type 2) | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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