Lead Data Engineer
United States, United States
R
USD 130K-180K (estimate) Senior-level Full Time
Tasks
- Build data models
- Create runbooks
- Define operational standards
- Develop data transformations
- Drive operational excellence
- Ensure SLAs
- Implement data testing
- Lead data engineering teams
- Maintain on call practices
- Manage Databricks Workflows
- Manage incident resolution
- Mentor engineers
- Orchestrate data jobs
- Partner with analysts and stakeholders
- Perform code review
- Perform root cause analysis
- Set technical direction
- Validate data accuracy and accessibility
Perks/Benefits
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Event | Azure Event Hubs | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Lineage | Data Modeling | Data Pipelines | Data Processing | Data Quality | Databricks | Delta Lake | Distributed data | Distributed data processing | ETL | Event Hubs | Lakehouse | Medallion Architecture | Python | Query Optimization | SQL | Schema Design | Unity Catalog
Education
N/A
Roles
Data Engineer | Data Engineering | Data Engineering Manager | Engineer | Engineering Manager | Lead | Lead Data | Lead Data Engineer | Manager
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