Senior Databricks Engineer, Apache Spark and AWS - Vice President
Location(s): Pune, Maharashtra, India
INR 4000K-5000K (estimate) Executive-level Full Time
Tasks
- Collaborate with architects platform and DevOps teams
- Configure job clusters and auto scaling
- Create unit integration and data validation tests
- Define data models and reusable components
- Develop and optimize Databricks Delta Lake solutions
- Eliminate legacy Hadoop dependencies
- Follow Databricks and Spark engineering standards
- Improve Spark job performance
- Modernize data processing platform on Databricks
- Orchestrate data pipelines with Databricks Workflows
- Provide technical troubleshooting and implementation guidance
- Refactor Spark pipelines to Databricks
- Simplify complex pipelines into standardized patterns
- Support production releases and post deployment validation
- Translate architecture into technical designs
- Write modular testable code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon S3 | Apache Spark | Batch optimization | Data Modeling | Data pipeline | Data pipeline orchestration | Databricks | Databricks Workflows | Delta Lake | Integration Testing | Java | Performance Tuning | Pipeline Orchestration | PySpark | SQL | Unit Testing
Education
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