- Design and develop large-scale data processing pipelines using Java and Spark with AWS mandate.
- Build and maintain distributed applications utilizing Spark SQL, Spark Streaming, and Data Frames/Datasets. Optimize Spark jobs for performance, scalability, and resource utilization.
- Troubleshoot and resolve complex performance bottlenecks and production issues in a timely manner.
Qualifications:
- Bachelors degree in Computer Science Information Technology, or a related field 7 to10 years of experience in ava / Spark / AWS and Proven track record of delivering high-quality software solutions.
- Design and develop large-scale data processing pipelines and scalable microservices.
- Implement data integration solutions and ETL workflows.
- Write and maintain robust unit tests using JUnit 5, Mockito, and Cucumber.
- Collaborate with cross-functional teams to define and ship recent features in a Scrum environment.
- Proficiency in Java and strong experience with the Apache Spark ecosystem.
📌 Java+Spark (Nanda) (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India
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