Senior developer - Databricks technologies
Tasks
- Build ingestion pipelines using Databricks Autoloader
- Conduct end-to-end system testing
- Design and implement Data Lakehouse solutions
- Develop ETL workflows
- Develop and integrate CI/CD pipelines
- Develop and maintain Delta Lake tables
- Document data models and pipeline designs
- Enable secure data access using Unity Catalog
- Implement data quality checks
- Monitor and troubleshoot data pipelines
- Optimize Spark jobs for performance and cost
- Orchestrate Databricks jobs and workflows
- Resolve critical technical issues and escalate
Perks/Benefits
Skills/Tech-stack
AWS | Agile | Apache Spark | CI/CD | Cloud Storage | Data Governance | Data Modeling | Data Quality | Data Warehousing | Databricks | Databricks Autoloader | Delta Lake | ETL | Event Driven | Event-driven architecture | Git | Job orchestration | Oracle | PLSQL | PySpark | Python | SQL | Scala | Scrum | Spark Streaming | Structured Streaming | Unity Catalog
Education
N/A
Roles
Data Engineer | Engineer | Lead | Senior Data Engineer | Technical Lead
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