6 months ago
Hong Kong, Hong KongStaff+
Responsibilities
- Partner across Trading, Custody, Asset Management, and Mining to build and enhance Galaxy’s data platform.
- Design, build, and maintain scalable batch and streaming data pipelines.
- Develop and operate high-throughput, low-latency data processing systems.
- Build cloud-native data solutions on AWS using Databricks and Spark for large-scale workloads.
- Use dbt for data transformation, modeling, testing, and documentation.
- Use Airflow or similar tools to schedule and manage data workflows.
- Write clean, efficient, well-tested code and contribute to technical design discussions.
- Improve system performance, scalability, and reliability while troubleshooting and supporting production systems.
- Collaborate with product, analytics, and infrastructure teams to deliver data solutions.
- Adopt AI tools and automation thoughtfully to improve team performance and business outcomes.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
- At least 5 years of professional experience in data engineering or distributed systems.
- Strong hands-on coding experience in Python, Java, or similar languages.
- Experience building and operating batch and streaming data pipelines.
- Strong experience with AWS, Databricks/Spark, and modern data architectures.
- Hands-on experience with dbt and Airflow or similar orchestration tools.
- Solid understanding of data modeling, data quality, and production data systems.
- Experience with relational and non-relational databases such as Postgres and SQL Server.
- Familiarity with CI/CD, testing frameworks, and monitoring tools.
- Preferred experience with Spring, Guice, or HK2 dependency-injection frameworks; Docker; full lifecycle commercial system development; and crypto.
Benefits
- Competitive base salary and discretionary bonus; amount not specified.
- Flexible paid time off.
- Hybrid working arrangements.
- Company-paid health and protective benefits for employees and eligible dependents.
- Free coaching and counseling through Headspace.
- Generous paid parental leave.
- Free daily in-office snacks and weekly lunches.
- Opportunities to learn about the crypto industry and participation in employee resource groups.
- Benefits may vary depending on location.
Tech Stack
Categories
Data Engineering
About Galaxy
Galaxy provides an institutional digital-assets platform spanning trading, advisory, asset management, staking, self-custody, and tokenization, and it builds and operates AI/HPC data-center infrastructure. Founded in 2018 and headquartered in New York, the public company operates the Helios campus in Texas and is developing a multi-gigawatt U.S. capacity pipeline. It monetizes through fees, market activities, and infrastructure services for financial institutions and enterprises across North America, Europe, the Middle East, and Asia.