Lead Data Engineer
Tasks
- Collaborate with stakeholders on requirements
- Contribute to enterprise data platform architecture
- Create SQL stored procedures and transformation scripts
- Design ETL/ELT pipelines
- Develop data processing solutions
- Ensure data quality checks
- Establish engineering best practices
- Implement data engineering initiatives
- Implement source control and CI CD release management
- Improve platform reliability and scalability
- Maintain dimensional data models
- Maintain technical documentation runbooks
- Mentor engineers and share knowledge
- Monitor and audit data pipelines
- Optimize SQL workloads and Spark jobs
- Optimize data pipelines performance and cost
- Perform architecture and code reviews
- Troubleshoot production data issues
Perks/Benefits
- Calm app subscription
- EAP
- EAP support
- Medical, dental & vision coverage
- Open PTO policy
- Parental leave
Skills/Tech-stack
Agile | Apache Spark | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Quality | Data Reconciliation | Data Validation | Data Warehousing | Delta Lake | Dimensional Modeling | ELT | ETL | Git | Kimball methodology | Monitoring | Performance Tuning | Query Optimization | Release Management | SQL | SQL Database | SQL Server | Stored Procedures | Synapse Analytics | Testing
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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