Senior Data Engineer
Tasks
- Build ETL/ELT workflows
- Collaborate with analytics and data science stakeholders
- Conduct code reviews
- Create reusable data models
- Design scalable data pipelines
- Develop lakehouse architectures
- Drive CI/CD adoption
- Ensure security and scalability
- Establish development testing deployment standards
- Improve performance and cost efficiency
- Lead engineering initiatives
- Manage data platform migration from Teradata to Databricks
- Mentor data engineers
- Monitor data quality and observability
- Optimize pipeline performance
- Translate requirements into data products
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | Azure Data | Azure Data Platform | CI/CD | Cost Optimization | DBT Cloud | Data Modeling | Data Quality | Data platform | Databricks | Deployment | ELT | ETL | Lakehouse | Monitoring | Observability | Performance Tuning | PySpark | SQL | Spark | Testing | Version control
Education
N/A
Roles
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