Intern - Big Data (Pune, IN)

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
• Apply your hands-on subject matter expertise in the Architecture of and administration of Big Data platforms - Data Warehouse Appliances , Open Data Lakes (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/Databricks/Other) and experience with ML and Data Science platforms (Spark ML , H2O , KNIME)
• 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 dynamic environment
• Exceptional data engineering skills in large, high-scale Data platforms and applications using cloud and big data technologies like Hadoop ecosystem and Spark
• Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better
• Excellent interpersonal skills to develop relationships with different teams and peers in the organization 

Your experience includes:

• Big data processing frameworks knowledge: Spark, Hadoop, Hive, Kafka, EMR
• Big data solutions on cloud (AWS or Other)
• Advanced experience and hands-on architecture and administration experience on big data platforms
• Data Warehouse Appliances, Hadoop (AWS EMR), Data Lake Technologies (AWS S3/GCS/Other) and experience with ML and Data Science platforms (Spark ML , H2O , KNIME )
• Experience in Python, Java, Scala 
• Experience in DevOps, Continuous Delivery, and Agile development 
• Creating a culture of technical excellence by leading code and design reviews, promoting mentorship, and identifying and promoting educational opportunities for engineers 

Location:

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