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Data Engineer

OKX
Hong Kong

Overview

Department

Data Science & Analytics

Compensation

Salary not specified

Location

Hong Kong

Company size

Mature [ 50+ employess ]

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OKX is a leading crypto exchange seeking a Data Engineer to design and build resilient data pipelines, architect data infrastructure on the cloud, and collaborate with various teams to build data-driven platforms. This role requires experience with data processing tools and cloud technologies.

Requirements

  • Bachelor’s Degree in Computer Science or have equivalent professional experience
  • Solid Experience with data processing tools such as Spark, Flink
  • Solid Experience implementing batch and streaming data pipelines
  • Solid experiences in Python/Go/Scala/Java.
  • In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting
  • Familiar with DevOps tools such as Git, Docker, k8s
  • Experience with the cloud (e.g. AWS, Ali Cloud, GCP, Azure)
  • Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions.
  • Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis.
  • Self-driven, innovative, collaborative, with good communication and presentation skills
  • Fluent in English, both written and spoken.

    • Responsibilities

  • Design and build resilient and efficient data pipelines for both batch and real-time streaming data
  • Architect and design data infrastructure on cloud using industry standard tools
  • Execute projects with an Agile mindset
  • Build software frameworks to solve data problems at scale
  • Collaborate with product managers, software engineers, data analysts and data scientists to build scalable and data-driven platforms and tools
  • Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent issues and quickly identify issues. Drive resolution on the issues.
  • Define, understand, and test external/internal opportunities to improve our products and services.
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