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Intern- Big Data

Location: 

Pune, IN

Posting Date:  Apr 27, 2024
Job ID:  9541

About our group:

We are 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 is to transform this vital information into concrete and valuable insights that will allow Seagate to make better and more strategic business decisions.

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.

 

Location: Pune, India
Travel: None

Innovation thrives in a culture that embraces different voices, where employees are equal contributors and are empowered to express themselves authentically. Building this culture takes constant work and willingness to be transparent about progress. Read more in our Diversity, Equity, and Inclusion, Annual Report.

 

 

 

 

 

 

 

- Learn more about our commitment to the U.S. military and veteran community by watching this video.
- 4th year in a row as a Best Employer for LGBTQ+ Equality
- 4th year in a row as a Best Company for Women in Technology

 

 

 

 

About Us

With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape. 

We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.

Seagate is powered by our talented, passionate, and diverse workforce of 40,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.

Join us and get inspired to make a difference in the datasphere!

 

 

Seagate provides an environment where equal opportunity is available to all. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, ethnic or national origin, physical or mental disability, medical condition, genetic information, marital status, sex (which includes pregnancy or perceived pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, perceived or actual religious creed or political opinion, military and veteran status, taking or requesting statutorily protected leave, taking or requesting a reasonable accommodation for a protected basis, or other basis protected by applicable law. Company-sponsored training, education, degree assistance, and social and recreational programs are also included. EEO is the Law Poster, EEO is the Law Supplement Poster, & OFCCP Pay Transparency Provision Information.

All Seagate jobs will remain open for a minimum of seven days.

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