About our group:
We are the BigData and Analytics group, a proactive, highly solutions oriented and collaborative team that works with all the various business groups across the organization. Our purpose is capturing massive amounts of data and transforming this vital information into concrete and valuable insights that will allow Seagate to make better and more strategic business decisions. If you're a Master of the “big picture”, with demonstrated success in developing Big Data solutions where you're building massive Data Lakes, then we want to talk with you. Snap up on this opportunity for your next big career challenge to create business value as you showcase your strength in technical architecture for designing systems and leading projects.

About the role - you will:
- Be Part of 10-12 Platform Engineers that are at the crux for developing and maintaining Big Data (Data Lake, Data Warehouse and Data Integration) and advanced analytics platforms at Seagate
- Develop and manage SPARK ETL Frameworks,



Data orchestration with Airflow and support building PRESTO/Trino queries for the key stakeholders
- Design, scale and deploy Machine Learning pipelines.
- Collaborate with Application Architects and Business SMEs to design and develop end-to-end data pipelines and supporting infrastructure.
- Establish and maintain productive relationships with peer organizations, partners, and software vendors

About you:
- Excellent coding skills in any language with deep desire to learn new skills and technologies.
- You’re a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Big Data analytics with the complex and high-impact space of HiTech and Manufacturing
analytics
- As a motivated self-starter, you have the experience working in a agile environment
- Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better
- Excellent interperson

📌 Intern- Big Data (Pune)
🏢 Seagate Technology
📍 Pune