Intern-Big Data
- SEAGATE
- No fixed duration
- Pune
- 3 months ago
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Job Description
The BigData and Analytics group is 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 youre a Master of the big picture , with demonstrated success in developing Big Data solutions where youre 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 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
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
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
Working on 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)
Working in 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
Big data solutions on cloud (AWS or Other)
Advanced experience and hands-on architecture and administration experience on big data platforms
Working on 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)
Working in 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
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
Experience working in a Software Product Development environment is a BIG plus
Job Classification
Industry: Hardware & NetworkingFunctional Area / Department: Engineering - Software & QA, Role Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: SeagateLocation(s): Pune+ View Contact
Keyskills: orchestration Appliances data science Coding Machine learning Data processing Software product development big data Data warehousing Python
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₹ Unpaid
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Since 1978, Seagate has been creating precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance. We are a diverse workforce of about 40,000 creative, hard-working, passionate people all over the world—places including Silicon Valley, the U...
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