Big Data Internship Opportunity | Pune

Big Data Internship Opportunity | Pune

Seagate is set to hire Big Data Intern. The working location is in Pune. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.

Big Data Internship Opportunity | Pune – Overview

Company Name:Seagate
Job Role: Big Data Intern
Employment Type:Internship
Duration:Not Specified
Educational Qualification:Not Specified
Stipend:Not Specified
Location:Pune
Work Mode:On-site
Last Date to Apply:ASAP

Detailed Eligibility

 ​📌Roles & Responsibilities

  • 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 

✔What We’re Looking For  

  • 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 

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