Spark Developer
Pune, Maharashtra, India
INR 2000K-3900K (estimate) Senior-level Full Time
Tasks
- Analyze Spark internals
- Collaborate with product and platform teams
- Conduct architecture discussions
- Contribute code to Apache Spark
- Debug performance stability scalability issues
- Design distributed data processing solutions
- Fix and enhance Apache Spark
- Lead through code reviews testing and documentation
- Modify and optimize Spark internals
- Upgrade Spark compatibility
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Big Data | Distributed Computing | Distributed Systems | JVM | Java | Kubernetes | Memory Management | Performance optimization | Query Execution | Query engines | Scala | Vectorized execution
Education
N/A
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