Senior Data Engineer – Microsoft Fabric
Tasks
- Build and own data pipelines with validation quality checks monitoring
- Collaborate with analysts data scientists architects
- Define data products schemas ownership boundaries SLAs documentation standards
- Design lakehouse architecture using medallion model
- Document data flows pipelines operational processes
- Enforce enterprise data architecture standards
- Ensure data accuracy, consistency, completeness
- Provide technical leadership data engineering best practices
- Troubleshoot pipeline and transformation issues
Perks/Benefits
- Continuous learning and growth
- High technical autonomy
- Inclusive supportive engineering culture
- Remote-first
Skills/Tech-stack
Azure Databricks | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Governance | Data Modeling | Data Monitoring | Data Quality | Data Validation | Data product | Delta Lake | Event Hubs | GitHub | GitHub Actions | Lakehouse | Medallion Architecture | Microsoft Fabric | Partitioning | Performance Tuning | PySpark | Spark SQL | Synapse Analytics
Education
N/A
Roles
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