Python Intern at Seagate Technology

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

0.0

Posted On

31 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Solutions, Aws, Knime, Java, Kafka, Scala, Big Data Analytics, Spark, Continuous Delivery, Data Warehouse Appliances, Engineers, Hive, Interpersonal Skills, Cloud, Python, Hadoop, Computer Science

Industry

Information Technology/IT

Description

YOUR EXPERIENCE INCLUDES:

Pursuing a degree in Computer Science, Software Engineering, or a related field Big data processing frameworks knowledge: Spark, Hadoop, Hive, Kafka, EMR

Big data solutions on cloud (AWS or Other)
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

YOUR EXPERIENCE INCLUDES:

Pursuing a degree in Computer Science, Software Engineering, or a related field Big data processing frameworks knowledge: Spark, Hadoop, Hive, Kafka, EMR

Big data solutions on cloud (AWS or Other)
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

Responsibilities

ABOUT THE ROLE - YOU WILL:

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 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.
Testing and troubleshooting to ensure system reliability, performance, and usability
Managing the project by handling multiple tasks, collaborating with mentors and stakeholders, and ensuring timelines are met

ABOUT THE ROLE - YOU WILL:

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 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.
Testing and troubleshooting to ensure system reliability, performance, and usability
Managing the project by handling multiple tasks, collaborating with mentors and stakeholders, and ensuring timelines are met