Job highlights

- 6-12 years experience with expertise in Spark, AWS, and Java for big data processing

- Design, develop, test, deploy, and maintain large-scale data pipelines; collaborate with teams; troubleshoot pipeline issues

Roles and Responsibilities :

- Design, develop, test, deploy and maintain large-scale data processing pipelines using Spark on AWS cloud platform.

- Collaborate with cross-functional teams to identify business requirements and design solutions that meet customer needs.

- Develop high-quality code in Java programming language for big data processing tasks such as ETL, data warehousing, and analytics.

- Troubleshoot complex issues related to pipeline failures or performance bottlenecks.

Job Requirements :

- 6-12 years of experience in software development with expertise in Spark and AWS technologies.

- Robust proficiency in Java programming language for big data processing tasks.

- Experience working with distributed computing frameworks like Apache Spark for large-scale data processing.

- Knowledge of cloud-based infrastructure management on AWS platform.

📌 Senior Software Engineer (Pune)
🏢 Virtusa
📍 Pune