Data Analytics Engineer

2 Months ago • 1-3 Years • Data Analyst

About the job

Job Description

Razer Gold seeks a Data Engineer to build and maintain a robust data pipeline. Experience in data engineering, cloud, and working with systems like Apache Kafka and Confluent is essential. This role focuses on data consistency, quality, and strategic improvements.
Must have:
  • Data Engineering
  • Cloud Native
  • Apache Kafka
  • Confluent
Good to have:
  • Gaming Industry
  • Payments Industry
  • MS SQL
  • MySQL
Perks:
  • Global Mission
  • Gamer-Centric Culture
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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 :

Razer Gold aims to become the world’s leading payment service provider for games and digital content. As our business grows to meet the needs of gamers globally, we are looking for an experienced data engineer to join our team and fulfil the needs of our gamer customer base.

As Data Engineer in Razer Gold, you will be a part of Razer Gold’s data team and play a key role in the daily operations relating to the operation and maintenance of our data pipeline. You will be reporting to the Lead Data Engineer in Razer Gold. 

  • Build and maintain a robust data pipeline using industry best practices.
  • Ensure data consistency and quality are upheld.
  • Suggest improvements to the existing data strategy.

Pre-Requisites :

  • Bachelor’s degree in IT, computer science, or a relevant field.

  • 1-3 years of experience in the data engineering domain.

  • Able to work independently in a fast-paced and highly complex environment.

  • Experience in gaming and/or payments industries a plus.

  • Good communication skills (both verbal and written) – English is mandatory.

  • Good knowledge in data, data engineering and other related subdomains.

  • Background in cloud, cloud native applications and data flows.

  • Working knowledge of MS SQL, MySQL, Apache Kafka, Confluent and other related systems.

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About The Company

Shah Alam, Selangor, Malaysia (On-Site)

Shah Alam, Selangor, Malaysia (On-Site)

Singapore (On-Site)

King Of Prussia, Pennsylvania, United States (On-Site)

Singapore (On-Site)

King Of Prussia, Pennsylvania, United States (On-Site)

Singapore (On-Site)

Tokyo, Japan (On-Site)

Tokyo, Japan (Hybrid)

Singapore (On-Site)

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