Databricks Engineer/ Architect
Tasks
- Collaborate with cross functional teams to improve platform stability
- Design build and stabilize Databricks data pipelines
- Develop reporting and data visualization solutions
- Implement data engineering architecture best practices
- Monitor tune and optimize platform operations
- Optimize pipelines for performance scalability cost and reliability
- Standardize Databricks environment for consistency and maintainability
- Troubleshoot performance bottlenecks and data quality issues
Perks/Benefits
- Career growth
- Collaborative team culture
- Exposure to Modern Data Engineering Ecosystems
- Flexible working arrangements
- Remote work
Skills/Tech-stack
AWS | Apache Spark | Azure | Cloud platform | Data Architecture | Data Governance | Data Security | Data pipeline | Databricks | Distributed Computing | ELT | ETL | Google Cloud | Google Cloud Platform | Power BI | PySpark | Scala | Tableau
Education
N/A
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