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Razer

Data Engineer Intern

Posted 7 Days Ago
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Singapore
Internship
Singapore
Internship
The Data Engineer Intern will improve and build data pipelines essential for analytics, focusing on data profiling, processing, and automation. The role includes learning about data engineering, cloud computing, and industry best practices, contributing to AI and ML products.
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Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

The data engineer intern will be playing a key role in the improvement of existing data pipelines and building new pipelines that are essential for data analyst/data scientist to perform analytics and build AI and ML products. By studying and understanding the data and pipelines, the intern will perform data profiling, data processing, and automation to ensure that data is accurate and available to our end users. Throughout the process, the intern will learn the skills of proper documentation for these works.

Pre-requisites :

  • Creative and innovative mindset and ability to work independently
  • Ability to use one or more development language (Python, SQL, etc)
  • Familiar with cloud technologies (Amazon Web Services, Google Cloud Platform)
  • Familiar with orchestration tools. (Airflow)
  • Interest and experience in Data Engineering

Learning Objectives

The intern will be able to learn data operations concept, data engineering skills and understand the wider realm of data engineering and applications in AI and analytics. The application of the different cloud computing knowledge can also be picked up.

Learning Outcome

  • Industry best practices in Data Warehousing
  • Industry use of CI/CD for code repository integration and deployment
  • Pipeline design and boiler plating
  • SQL database schema and table structure design
  • Data transformation tools - DBT
  • Cloud computing technology – AWS
  • Infrastructure as code – Terraform
  • Data pipeline orchestration - Airflow
  • Technical requirement gathering and translation to end to end data pipeline

Pre-Requisites :

Are you game?

Top Skills

Airflow
Amazon Web Services
Dbt
Google Cloud Platform
Python
SQL
Terraform

Razer Singapore Office

1 One-north Cres, Singapore, 138538

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