Senior Data Engineer
Tasks
- Build Microsoft Fabric data lakehouse
- Build semantic layer for Power BI datasets
- Define data quality and platform KPIs
- Design scalable data pipelines for enterprise sources
- Develop medallion architecture and OneLake
- Establish monitoring SLAs and incident management
- Implement Spark and SQL pipelines
- Implement data governance security RBAC and audit
- Lead data platform architecture and engineering
- Manage CI/CD and deployment
- Oversee external implementation partners and quality
- Provide technical leadership mentoring and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
Azure DevOps | Azure Synapse | CI/CD | Data Governance | Data Quality | Data pipeline | Databricks | ELT | ETL | GitHub | Incident Management | Infrastructure as Code | Microsoft Fabric | Microsoft Purview | Monitoring | OneLake | Power BI | PySpark | Python | RBAC | SQL | Semantic Modeling | Spark | T-SQL | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Senior Data Engineer | Technical Lead
Regions
Countries
States
Cities
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