[Job - 30813] Senior Data Developer (Databricks), Brazil
Tasks
- Collaborate with stakeholders on requirements
- Deploy changes across environments
- Design dimensional modeling artifacts
- Evolve medallion architecture
- Implement Slowly Changing Dimensions
- Keep technical documentation current
- Maintain automated testing pipeline
- Modify data processing jobs
- Monitor production jobs
- Own data platform notebooks
- Perform code reviews
- Recommend architectural improvements
- Serve as technical reference and mentor
- Troubleshoot failures and performance issues
Perks/Benefits
- Childcare assistance
- Continuous learning platform
- Dental insurance
- Discount club
- Extended paternity leave
- Food allowance
- Gym membership discount
- Health insurance
- Life insurance
- Meal allowance
- Profit sharing
Skills/Tech-stack
ACID | ANSI SQL | Azure DevOps | Azure Key Vault | CI workflows | CI/CD | COPY INTO | CTE | Change Data Feed | Code review | Data Lake | Data Lake Storage | Data feed | Databricks | Dataframe API | Delta Lake | Dimensional Modeling | File Compaction | Git | Key Vault | Liquid clustering | MERGE INTO | Managed Identity | Medallion Architecture | Optimize | Partition Pruning | Production Monitoring | Pull request | Pull request code review | PySpark | Query Optimization | SCD Type 1 | SCD Type-2 | Skew Handling | Slowly Changing Dimensions | Spark SQL | Star Schema | Testing Automation | Time Travel | Type 1 | Type 2) | UDF | Unity Catalog | VACUUM | Window Functions | ZORDER
Education
Roles
Data Developer | Data Engineer | Developer | Engineer | Senior Data Developer
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