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Senior Python Data Engineer

Gemini New York, New York, United States

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$91k - $96k · Senior Full-time Posted about 4 years ago 4 min read

Empower the Individual Through Crypto

Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it's a movement.

At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home.

Select roles that are location-specific will still be eligible for flexible schedules.

The Department: Data

The Role: Senior Python 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, architect and implement best-in-class Data Warehousing and reporting solutions
Lead and participate in design discussions and meetings
Mentor data engineers and analysts
Design, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python
Build real-time data and reporting solutions
Design, build and enhance dimensional models for Data Warehouse and BI solutions
Research new tools and technologies to improve existing processes
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 SQL queries, reports and ETL pipelines
Build and maintain data dictionary and process documentation

Qualifications:

7+ years experience in data engineering with data warehouse technologies
7+ years experience in custom ETL design, implementation and maintenance
7+ years experience with schema design and dimensional data modeling
Experience building real-time data solutions and processes
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 tools(Informatica, Pentaho, SSIS, Alooma, 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:

Kafka, HDFS, Hive, Cloud computing, machine learning, text analysis, NLP & Web development experience is a plus
NoSQL experience a plus
Experience with Continuous integration and deployment
Knowledge and experience of financial markets, banking or exchanges

It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:

Competitive Compensation and Profit-Sharing Equity
Flexible vacation policy
Retirement Plan Matching
Generous Parental leave
Comprehensive health plans
Training and professional development

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 and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.

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