Data Engineer

About the Company

Gemini is a US-based web3 and crypto FinTech company founded by Tyler Winkelvoss and Cameron Winklevoss in 2015. Gemini offers a wide range of products and services for its retail and institutional customers in 60+ countries.

Gemini’s most popular offering for both retail and institutional customers is its trading exchange with a mission to be the world's most compliant and secure place to buy, sell, and store crypto. Gemini's platform is backed by its own multi-layered secure and regulated custody solution. Over the years, Gemini has added a wide array of FinTech and web3 products for its retail and institutional customers. For its retail customers, it offers advanced trading tools, the world’s most unique credit card with real-time crypto rewards, the Gemini dollar — a U.S. dollar-pegged stablecoin, Nifty Gateway — the world's most premier marketplace for digital art and assets, and staking services that allow customers to stake their native tokens in major proof of stake (PoS) protocols. 

Besides offering advanced trading features via our exchange, Gemini also offers a fully-electronic over-the-counter trading platform built for large-scale orders via Gemini eOTC. For wealth management businesses and advisors, it enables a unique destination to manage portfolios for their respective clients. Gemini also enables fully-electronic clearing and settlement of off-exchange crypto trades. Finally, there is the NFT marketplace and the most deep toolset for NFT publishing for brands, businesses and enterprises via Gemini-owned Nifty Gateway that powers the new Starbucks Odyssey market worldwide, a web3 and NFT-based extension of the Starbucks loyalty program.

The Department: Analytics

Data and analytics are central to all of our business functions and drive many of our most important decisions at Gemini. The Analytics team is responsible for data architecture, data engineering, business intelligence, machine learning, and data governance functions that shape the way data is stored and leveraged across Gemini. Data engineers and Machine Learning engineers make up the Analytics team are responsible for building the primary decision support system that derives continuous value by enabling individuals and various functional groups to make data driven informed decisions via our reliable data processes, data products and advanced analytics ability. The projects executed by the team cover a wide-range of topics including user acquisition and customer journey, cryptocurrency performance, product analytics, order book analytics, risk analytics, enabling automated and scalable blockchain based reconciliation systems, building predictive models all the way to enabling anomaly and fraud detection.

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 are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll mentor data engineers and analysts and 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, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python
• Design, build and enhance dimensional models for Data Warehouse and BI solutions
• Research new tools and technologies to improve existing processes
• Work closely with data analysts to understand data integration and modeling requirements
• Develop new systems and tools to enable the teams to consume and understand data more intuitively
• Perform root cause analysis and resolve production and data issues
• Create test plans, test scripts and perform data validation
• Tune SQL queries, reports and ETL pipelines
• Build and maintain data dictionary and process documentation
• Takes ownership and can work autonomously

Minimum Qualifications:

• 2+ years experience in data engineering with data warehouse technologies
• 2+ years experience in custom ETL design, implementation and maintenance
• 2+ years experience with schema design and dimensional data modeling
• Advanced skills with Python and SQL are a must
• Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL frameworks (Custom, DBT, Databricks, etc)
• Strong computer science fundamentals including data structures and algorithms
• Strong software engineering skills in any server side language, preferable Python
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication

Preferred Qualifications:

• Spark, HDFS/S3, Messaging, Cloud computing (especially AWS) experience is a plus
• Experience with continuous integration and deployment
• Knowledge and experience of blockchain, financial markets, banking or exchanges
• Knowledge of working with BI applications (Tableau/Looker/Power BI, etc)

It Pays to Work Here   The compensation & benefits package for this role includes:

• Competitive starting salary
• A discretionary annual bonus
• Equity

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.