Data Engineer 2
Tasks
- Automate workflows and monitor data health
- Collaborate with architects and analysts on business requirements
- Deliver scalable data solutions for operational needs
- Design data pipelines for analytics and machine learning
- Develop data engineering standards documentation and reusable components
- Implement data ingestion, transformation, and delivery
- Integrate structured and unstructured data into repositories
- Optimize data workflows for speed efficiency and cost
- Perform peer reviews and knowledge sharing
Perks/Benefits
Skills/Tech-stack
Apache Spark | Azure Databricks | Data Governance | Data Management | Data Modeling | Data Quality | Data Quality Management | Data integration | Dataflow | Master Data | Master Data Management | Metadata Management | Microsoft Fabric | OneLake | Power BI | Python | Quality management | SQL
Education
Roles
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