Data Engineering Professional

2 weeks ago


Hong Kong, Central and Western District, Hong Kong SAR China OKX Full time

At OKX, we believe in shaping the future through crypto and contributing to individual freedom. Our mission is to provide access to crypto trading and decentralized applications for millions of users worldwide. As a leading crypto exchange and developer of the OKX Wallet, we are trusted by hundreds of large institutions seeking access to crypto markets.

We value our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

About the role:

Our data team is responsible for the entire data scope of OKG, covering technical selection, architecture design, data ingestion, storage, ETL, visualization, business intelligence, and data science. As a data engineer, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve product quality.

Responsibilities:

  • Design and build resilient and efficient data pipelines for batch and real-time streaming data
  • Architect and design data infrastructure on cloud platforms 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 scientists to develop scalable data-driven platforms and tools
  • Ensure data integrity and scalability through enforcement of data standards, improving validation and monitoring processes, and driving issue resolution
  • Identify opportunities to improve products and services

Requirements:

  • Bachelor's Degree in Computer Science or equivalent professional experience
  • Solid experience with data processing tools such as Spark, Flink
  • Experience implementing batch and streaming data pipelines
  • Proficiency in programming languages like Python, Go, Scala, Java
  • In-depth knowledge of SQL and NoSQL databases, including performance tuning and troubleshooting
  • Familiarity with DevOps tools like Git, Docker, Kubernetes
  • Experience with cloud platforms (AWS, Ali Cloud, GCP, Azure)
  • Proficiency in SQL, familiarity with advanced features like window functions and aggregate functions
  • Proven experience in full end-to-end data solutions involving ingestion, persistence, extraction, and analysis
  • Self-motivated, innovative, collaborative, with strong communication and presentation skills
  • Fluent English language skills

Preferred Qualifications:

  • Experience in FinTech, eCommerce, SaaS, AdTech, or Digital Wallet industries
  • Experience working with teams across offices and timezones
  • Experience with big data tools like Amplitude, Tableau, QlikView, Ali Cloud DataWorks, MaxCompute, Hadoop, Hive, Spark, and HBase


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