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 and implement warehousing solutions to scale with the needs of the business
- Develop new systems and tools to enable the team to consume and understand data more intuitively
- Partner with engineers, project managers, and analysts to deliver insights to the business
MINIMUM QUALIFICATIONS:
- 4+ years experience in data engineering with data warehouse technology
- 4+ years experience in custom ETL design, implementation and maintenance
- 4+ years experience with schema design and dimensional data modeling
- Strong SQL skills on multiple platform
- Skilled in programming languages Python, R, and/or Java
- Strong computer science fundamentals including data structures and algorithms
- 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