Databricks Developer - Banking
Tasks
- Analyze and resolve production incidents
- Automate development and deployment processes
- Build ETL/ELT pipelines
- Configure monitoring alerting and logging
- Define data lakehouse architecture
- Develop data ingestion processes
- Develop data reconciliation and validation processes
- Develop incremental loading and historization
- Implement CDC (Change Data Capture)
- Implement Delta Lake data models
- Implement data quality controls
- Integrate data from multiple sources
- Manage data reloads reruns and recovery
- Optimize Databricks resource consumption
- Optimize PySpark and SQL for cost efficiency
- Propose scalable high performance data models
Perks/Benefits
- 13th Salary Bonuses
- Bookster subscription
- Flexible Working Program
- Lunch tickets
- Mentorship programs
- Premium medical package
- Remote work opportunity
- Team events and activities
- Training platform access
Skills/Tech-stack
Apache Spark | Azure | CDC | Change Data Capture | Data Capture | Data Lakehouse | Data Modeling | Data Quality | Databricks | Delta Lake | ELT | ETL | Git | Jira | PySpark | SQL
Education
N/A
Roles
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