Senior Data Engineer - Databricks
Tasks
- Build lakehouse platforms
- Communicate technical topics
- Contribute to solution design
- Define RDS data sources
- Develop ETL jobs
- Develop engineering standards
- Execute data platform migrations
- Manage data warehouses
- Orchestrate Databricks jobs
- Perform implementation reviews
- Produce technical documentation
- Troubleshoot data pipeline performance
- Troubleshoot reliability issues
- Troubleshoot scalability issues
Perks/Benefits
- Equipment and office stipend
- Flexible PTO
- Learning and development stipend
- Paid Holidays
- Paid exams and certifications
- Peer bonus awards
- Professional development plan
- Remote work
- State of the art laptop
Skills/Tech-stack
AWS | Apache Spark | Automation Scripting | CI/CD | Cost Optimization | Data Lake | Data Warehouse | Databricks | Delta Lake | Disaster Recovery | ETL | Event Driven | Event-driven ingestion | High Availability | Infrastructure as Code | Lakehouse | PySpark | Python | Query Optimization | Relational databases | SQL | Schema Design | Security | Streaming | Unity Catalog | “as-code”
Education
N/A
Roles
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