Senior Data Engineer
Tasks
- Build data ingestion pipelines
- Design data platforms
- Develop engineering standards and reusable frameworks
- Engineer SQL transformations
- Engineer data pipelines with PySpark
- Estimate project work and support delivery
- Implement Delta Lake
- Implement lakehouse architectures
- Lead client discovery and requirements workshops
- Manage security for data platforms
- Model dimensional data
- Optimize batch and streaming processing
- Orchestrate workflows in Azure and Databricks
- Participate in architecture and solution reviews
- Recommend data modeling governance lineage monitoring
- Transform data workflows
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Apache Spark | Automated testing | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Databricks | Azure Kubernetes | Azure Kubernetes Service | Azure SQL | Azure Synapse | Azure Synapse Analytics | Batch Processing | Container Registry | Cosmos DB | Data Factory | Data Governance | Data Ingestion | Data Lineage | Data Monitoring | Data Transformation | Data Warehousing | Databricks | Delta Lake | DevOps | Dimensional Modeling | Docker | File-Based | File-based ingestion | Git | GitHub | Kubernetes | Kubernetes Service | Lakehouse | Lakehouse storage strategy | Medallion Architecture | Microsoft Azure | Microsoft Fabric | Mosaic AI | Networking | Orchestration | Power BI | PySpark | Python | SQL | Spark SQL | Storage strategy | Streaming processing | Synapse Analytics | Unity Catalog
Education
Roles
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