Data Engineer
Tasks
- Apply role based access controls and RLS
- Automate workflows for real time and batch processing
- Build data pipelines for ingestion transformation validation and delivery
- Design data models for analytics and reporting
- Ensure pipeline observability logging and monitoring
- Implement data validation logic
- Maintain documentation data dictionaries and flow diagrams
- Publish curated datasets to Power BI workspaces and Fabric Lakehouses
- Translate data requirements into engineering solutions
- Version control and automate deployments across environments
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Lake Storage | Data Modeling | Data Quality | Data Validation | Data orchestration | Dimensional Modeling | ELT | ETL | GitHub Actions | HIPAA | Infrastructure as Code | Logic Apps | Microsoft Fabric | Power BI | Python | RBAC | Row Level Security | SCD Type-2 | SQL | Snowflake Schema | Star Schema | Surrogate keys | Synapse Analytics | Type 2) | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Systems | Bachelor of Technology
Roles
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