Distributed Systems Developer
3 weeks ago
Job Role: Spark Developer
Key Responsibilities:
- Collaborate with development teams and product managers to build new product features and enhancements.
- Design and develop well-functioning databases and applications.
- Develop and manage data and event processing pipelines.
- Test software to ensure responsiveness and efficiency.
- Troubleshoot, debug, and upgrade software.
Requirements:
- 3+ years of experience in Java/Scala as a Backend developer.
- Experience in Big Data is essential.
- Programming experience in Java/Scala is required.
- Experience in writing ETL Stack in scalable optimized fashion using Apache Spark/Hadoop/Kafka.
- Working experience in writing distributed optimized Apache Spark jobs for various Machine Learning Algorithms.
Preferred Skills:
- Working experience with Kafka, at least one of No SQL databases (e.g., Cassandra, MongoDB, Elastic DB), and at least one of RDBMS (e.g., MySQL).
- Working knowledge of Docker and Kubernetes.
What We Look For:
- Strong team player to adhere to Software Development Life Cycle (SDLC) and documentations.
- Good knowledge of Big Data tools, HIVE, and HBASE tables.
- Experience in Spark Streaming.
- Good knowledge of SQL.
- Good analytical skills to analyze issues.
- Hands-on Unix/Linux knowledge.
- Very good client communication and interfacing skills.
About the Role:
This is a fantastic opportunity to join our team as a Spark Developer and contribute to the development of scalable distributed architecture.
Contact Information:
For more information, please contact us at Talent Pro.
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