Lead Data Engineer
USD 129K-161K Senior-level Full Time
Tasks
- Automate data engineering workflows
- Build data ingestion pipelines
- Create Tableau dashboards for analytics
- Develop Databricks notebooks
- Develop data transformation pipelines
- Document data flows and dependencies
- Implement CI/CD pipelines
- Implement batch and real-time data integration
- Implement data cataloging classification and lineage
- Implement data quality checks
- Implement master data management
- Maintain ETL/ELT processes
- Maintain data governance policies and compliance
- Manage data storage for query performance
- Mentor data engineers
- Migrate legacy data to Enterprise Data Hub
- Monitor data pipeline health
- Optimize pipeline performance
- Redirect pipelines during decommissioning
- Set up Change Data Capture processes
- Troubleshoot pipeline failures
Perks/Benefits
Skills/Tech-stack
Automation | Azure | Azure Data | Azure Data Factory | Azure Purview | Big Data | Big data processing | Business Intelligence | CI/CD | Change Data Capture | Data Capture | Data Factory | Data Governance | Data Management | Data Modeling | Data Processing | Data Quality | Data Warehousing | Databricks | Databricks Notebooks | Delta | ELT | ETL | Integration Services | Machine Learning | Master Data | Master Data Management | Parquet | Predictive Analytics | Profisee | SQL Server | SQL Server Integration Services | SQL Server Management | SQL Server integration | Scripting | Server Integration Services | Server management | Tableau
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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