About the Company
Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.
Our flagship product, the Gemini Exchange, was built to be a compliant and secure platform to buy, sell, and store crypto. Our suite of retail products includes ActiveTrader, a high-performance platform for advanced traders. Gemini also offers the Gemini Credit Card providing real-time crypto rewards, the Gemini dollar (GUSD), a U.S. dollar-backed stablecoin, and Gemini Staking, allowing users to securely stake their tokens on-chain and receive rewards. Nifty Gateway, Gemini's NFT platform, is the world's premier marketplace for NFTs and digital art.
Gemini customers also have access to a wide range of institutional products tailor-made for high-net-worth individuals, asset and wealth managers, and hedge funds and liquidity providers seeking exposure to crypto. Customers looking to place large orders can use Gemini eOTC, a fully-electronic over-the-counter trading platform built for high-value bulk orders. For wealth management professionals, we offer a unique destination for their clientsâ crypto portfolios from a single platform, and we enable fully electronic clearing and settlement of off-exchange crypto trades.
The Department:Analytics
Data and analytics are central to all of our business functions and drive many of our most importantdecisions at Gemini. The Analytics team is responsible for data architecture, data engineering, businessintelligence, machine learning, and data governance functions that shape the way data is stored andleveraged across Gemini. Data engineers and Machine Learning engineers make up the Analytics teamare responsible for building the primary decision support system that derives continuous value byenabling individuals and various functional groups to make data driven informed decisions via our reliabledata processes, data products and advanced analytics ability. The projects executed by the team cover awide-range of topics including user acquisition and customer journey, cryptocurrency performance,product analytics, order book analytics, risk analytics, enabling automated and scalable blockchain basedreconciliation systems, building predictive models all the way to enabling anomaly and fraud detection.
The Role:Analytics Engineer
As a member of our data team, you'll deliver high-quality work while solving challenges that impact the whole or part of the team's data architecture. You'll keep up-to-date with recent advances in Big data space and provide solutions for large-scale applications aligning with the team's long term goals. Your workwill help resolve complex problems with identifying root causes, documenting the solutions, andimplementing operational excellence (data auditing, validation, automation, maintainability) in mind. Communicating your insights with leaders across the organization is paramount to success.
Responsibilities:
- Design, architect and implement best-in-class Data Warehousing and reporting solutions
- Partner with product managers, data engineers and other functions to drive insights for the firm
- Design, automate, build, and launch scalable, efficient and reliable data pipelines into productionusing Python
- Design, build and enhance dimensional models for Data Warehouse and BI solutions
- 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
- Research new tools and technologies to improve existing processes
Minimum Qualifications:
- 4+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)
- Advanced skills with Python and SQL are a must
- 5+ years experience in custom ETL design, implementation and maintenance
- 5+ years experience with schema design and dimensional data modeling
- 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:
- Proficient in Developing LookML
- Proficient in Python
- Knowledge and experience of financial markets, banking or exchanges
- Competitive base salary
- Benefits
- Discretionary annual bonus
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.