5 Seagate Jobs

Design, develop, and optimize big data pipelines using Hadoop, Hive, Spark, and Iceberg.
Implement and maintain containerized applications using Kubernetes, Rancher, and Helm.
Work on data lake architectures and ensure efficient data storage, retrieval, and processing.
Manage and monitor Kubernetes clusters to ensure high availability and performance.
Collaborate with cross-functional teams to integrate big data solutions with cloud platforms.
Implement best practices for CI/CD automation, security, and performance tuning.
Troubleshoot big data processing issues and optimize job execution performance.
Document processes, architectures, and workflows for internal knowledge sharing.

Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.
A good team player with a proactive approach to learning and knowledge sharing.

Eexperience in Big Data and Cloud Technologies.
Hands-on experience with Hadoop, Hive, Spark, and Iceberg.
Strong expertise in Kubernetes, Rancher, and Helm for container orchestration.
Experience working with cloud platforms (AWS, Azure, GCP) is a plus.
Proficiency in scripting and automation using Python, Shell, or similar languages.
Familiarity with CI/CD pipelines and DevOps practices.
Exposure to security best practices in cloud and big data environments

Our site in Pune is dynamic, both in our cutting-edge, innovative work, as well as our vibrant on-site food, and athletic and personal development opportunities for our employees. You can enjoy breakfast, lunch, or dinner from one of four cafeterias in the park. Take a break from your workday and participate in one of our many walkathons or compete against your colleagues in carrom, chess and table tennis. Learn about a technical topic outside your area of expertise at one of our monthly Technical Speaker Series, or attend one of the frequent on-site cultural festivals, celebrations, and community volunteer opportunities.

Location: Pune, India
Travel: None