Intern - Big Data

Key Skills

Agile methodologies, Amazon Simple Storage Service (S3), Apache Airflow, Apache Hadoop, Apache Hive, Apache Kafka, AWS, Big Data Technology, Data Analytics, Data Lake, Data science techniques, DevOps, Docker, H2O, Java Programming, Kubernetes-K8s, Machine learning techniques, Python Programming, Scala Programming, SPARK Programming, SparkML

Job Description

About the role - you will:

• Be a part of 10-12 Platform Engineers that are 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 )
• Python, Java, Scala
• 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
• Strong understanding of Micro-services and container-based development using Docker and Kubernetes ecosystem is a BIG plus

• Experience working in a Software Product Development environment is a BIG plus

Location:

Pune, India

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 400+ 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 onsite cultural festivals, celebrations, and community volunteer opportunities.