Lead Data Engineer - Fabric
Tasks
- Architect and maintain Lakehouse and Delta Lake structures
- Build and optimize ETL and ELT pipelines
- Convert requirements into technical data solutions
- Ensure data governance quality lineage and security
- Implement CI/CD processes for Fabric workloads
- Lead design and implementation of end to end data solutions on Microsoft Fabric
- Mentor junior data engineers and provide best practices
- Oversee performance tuning capacity planning and cost management
- Stay updated on Microsoft Fabric roadmap and propose innovations
- Troubleshoot data pipeline failures and optimize workloads
Perks/Benefits
- Employee referral bonuses
- Flexible work options
- In-house technology training
- Learning and development programs
- Medical insurance
- Performance-based bonuses
Skills/Tech-stack
API Integration | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Data Quality | Data Security | Data Warehousing | Databricks | Dataflows Gen2 | Delta Lake | DevOps | ELT | ETL | Event Streaming | Git | KQL | Lakehouse | Machine Learning | Microsoft Fabric | Notebooks | Performance Tuning | Power BI | PySpark | Python | Real Time | Real-time analytics | SQL Performance | SQL Performance Tuning | Spark SQL | Synapse Analytics
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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