Help us Build the Future of Money
Gemini Trust Company, LLC (Gemini) is a licensed digital asset exchange and custodian. We built the Gemini platform so customers can buy, sell, and store digital assets (e.g., Bitcoin, Ethereum, and Zcash) in a regulated, secure, and compliant manner.
Digital assets and blockchain technology have the power to transform the world for good. This truth, along with our core values, form the bedrock of our company and culture. At Gemini, no job is too small and no project too big as we endeavor to build the future of money. We are a mission-driven, team-based, inclusive, and determined community of thought leaders who invest in each other and the long game. Join us in our mission!
THE DEPARTMENT: DATA ENGINEERING
THE ROLE: DATA ENGINEER
As a member of our data engineering team, you’ll shape the way we approach data at Gemini by using your engineering, analytical and communication skills to work with teams across the business. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You’ll guide our internal teams to use data to improve the product and achieve KPIs. Communicating your insights with leaders across the organization is paramount to success.
RESPONSIBILITIES:
- Design, build, and launch efficient and reliable data pipelines into production
- Design, build and enhance dimensional models for Data Warehouse and BI solutions
- Design and implement data warehousing solutions to scale with the needs of the business
- Develop new systems and tools to enable the teams to consume and understand data more intuitively
- Partner with engineers, project managers, and analysts to deliver insights to the business
- Perform root cause analysis and resolve production and data issues
- Create test plans, test scripts and perform data validation
- Tune queries and ETL pipelines
- Build and maintain data dictionary and process documentation
MINIMUM QUALIFICATIONS:
- 4+ years experience in data engineering with data warehouse technologies
- 4+ years experience in custom ETL design, implementation and maintenance
- 4+ years experience with schema design and dimensional data modeling
- Advanced SQL skills is a must
- Skilled in programming languages Python and/or Java
- Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
- Experience with one or more ETL tools(Informatica, Pentaho, SSIS, Alooma, etc)
- Strong software engineering skills in any server side language, preferable Python
PREFERRED QUALIFICATIONS:
- Kafka, Cloud computing, machine learning, text analysis, NLP & Web development experience is a plus
- NoSQL experience a plus
- Experience with Continuous integration and deployment
- Experienced in working collaboratively across different teams and departments
- Knowledge and experience of financial markets, banking or exchanges