Big Data Platform Engineer - Java/Go

2 Months ago • 1 Years + • Data Analyst

Job Summary

Job Description

As a Big Data Platform Engineer, you'll be part of a team working with massive datasets to enhance product quality. You'll design, build, and maintain distributed big data services, real-time systems (Java/Go/Python), and data processing architectures on AWS. Responsibilities include building automated and scalable data pipelines, analyzing production deployments, optimizing performance, and developing infrastructure to handle large-scale data processing, including streaming data. The role involves software development, data processing, and service operations, working closely with other development teams. Currently, the team is undergoing significant infrastructure changes, including dockerization.
Must have:
  • Develop and maintain distributed Big Data services
  • Build real-time systems in Java/Go/Python
  • Design and build data processing architecture in AWS
  • Build automated and scalable data pipelines
  • Analyze and optimize complex distributed systems

Job Details

As a member of our Big Data Engineering team you’ll get the opportunity to work with data at incredible scale that helps us improve the quality of our products. Peak’s Big Data Platform fuels the process of data-driven decisions by utilising the latest big data tech stack to collect and process terabytes of incoming data on a daily basis. Our team of experienced software engineers is building large distributed systems and developing real-time services to complete the data needs.

In this role you’ll equally touch software development, data processing and service operations while working closely with our development teams. We’re looking for a dedicated software engineer to help us process terabytes of data into well-designed, high-quality batch and real-time services that are the foundation of product-related decisions at Peak.

It’s a great time to join our team as we just started working on major changes on the infrastructure, including dockerizing our architecture and other exciting stuff that we’ll find on the way.

Here’s what you’ll do

    • Develop and maintain distributed Big Data services, components and tools
    • Build real-time systems and tools in Java/Go/Python to support all of our products
    • Design and build data processing architecture in AWS
    • Build an automated and scalable data pipeline
    • Analyze complex distributed production deployments and make recommendations to optimize performance
    • Design and build scalable infrastructure and platform to collect and process very large amounts of data, including streaming real-time data

Desired Skills and Experiences

    • Bachelor's degree in a technical field (e.g. Engineering, Computer Science, MIS or a related field of study)
    • Minimum 1+ years of experience
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About The Company

More than a decade ago we set out with a dream: To have millions of people playing our games all over the globe. We launched our casual puzzle game titles Toy Blast in 2015 and Toon Blast in 2017. Both games disrupted the casual puzzle game genre and rapidly became the most loved products of their type globally. With more than 400 million players, our dream keeps getting bigger. We’re going above and beyond, ever-improving our games and reaching more and more people.


Our goal at Peak is to gather people with high capabilities, strong values, and a will to shape Peak’s story. We always place progress, learning, and becoming a better team at the heart of our decision making. The Peak team has already touched the lives of countless millions of people around the world. Just imagine what we can do with you aboard.

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