Galaxy Digital is hiring a Data Engineer in Engineering — India. The overview below is synthesized from the employer posting on job-boards.greenhouse.io: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Who We Are
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on www.galaxy.com.
What We Value
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach.
- Seek Excellence.
- Be Selective To Be Effective.
- Be Highly Aligned, Loosely Coupled.
- Disagree Transparently.
- Encourage Independent Decision-Making.
- Build Dream Teams.
Who You Are
Experience and skills the team lists as required:
You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark.
What You’ll Do
Day-to-day scope for the Data Engineer as described in the posting:
- Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously
- Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales
- Operate Kafka as the message broker powering cross-team event-driven architecture
- Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes
- Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS
- Support dbt for transformations and Airflow (or similar) for orchestration across the platform
- Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements
- Troubleshoot production issues and drive the fixes
- Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
- Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 5+ years building data or platform engineering systems in production
- Strong coding skills in Python or Java
- Experience operating production data platforms on AWS and supporting downstream teams who build on them
- Hands-on with Kubernetes and Terraform
- Experience running Kafka (or a similar broker) in event-driven systems
- Working knowledge of Databricks/Spark, dbt, and Airflow
- Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server)
- Comfortable with CI/CD, testing frameworks, and observability tooling
Bonus Points
Additional experience noted as a plus:
- Experience with dashboarding technologies
- Experience with streaming engine (flink, kdb)
- Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
- Experience in Crypto
What We Offer
What the posting highlights about the offer:
- Competitive base salary and discretionary bonus
- Competitive paid time off
- Hybrid Working Arrangements
- Company-paid health and protective benefits for employees and their eligible dependents
- Free coaching and counseling sessions through Headspace
- Generous paid Parental Leave
- Opportunities to learn about the Crypto industry
- Smart, entrepreneurial, and fun colleagues
- Employee Resource Groups
- Benefits may vary depending on location.
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.