Roles and Responsibilities :

- Design, develop, test, deploy and maintain large-scale big data solutions using Scala/Spark on Hadoop ecosystem.

- Collaborate with cross-functional teams to identify business requirements and design scalable microservices architecture for data processing pipelines.

- Develop high-quality code that meets performance, security, and reliability standards while ensuring seamless integration with other systems.

- Troubleshoot complex issues related to big data processing workflows, data quality, and system performance.

Job Requirements :

- 4-5 years of experience in Big Data engineering with expertise in Scala/Spark on Hadoop ecosystem.

- Robust understanding of Java programming language and its application in developing microservices architectures.

- Experience working with Dynamo DB or similar NoSQL databases for storing large-scale datasets.

- Proficiency in Spring Boot framework for building robust APIs.

📌 Java Big Data Engineer (Pune)
🏢 Anura Systems
📍 Pune