Lead Data Engineer - Databricks
Tasks
- Assess and resolve data quality issues
- Collaborate with cross-functional teams on requirements
- Define raw curated trusted data zones
- Design ETL pipelines in Databricks
- Develop dimensional data models
- Document solutions and support knowledge transfer
- Drive data architecture best practices
- Guide implementation standards
- Identify integration challenges early
- Implement medallion architecture
- Maintain production ETL pipelines
- Mentor engineers through coaching and reviews
- Optimize ETL performance
- Own solution design decisions
- Recommend data platform improvements
- Support enterprise reporting views
- Translate operational requirements into technical solutions
- Troubleshoot ETL workflows
Perks/Benefits
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Data Factory | Data Governance | Data Lake | Data Modeling | Data Quality | Databricks | Dimensional Modeling | ETL | Medallion Architecture | Power BI | Qlik | Tableau
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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