Senior Data Engineer

Summary

Join Gemini's Data team as a Senior Data Engineer and contribute to the design, implementation, and maintenance of high-quality data warehousing and reporting solutions. You will lead design discussions, mentor junior engineers, and build scalable data pipelines using Python. This role requires strong experience in data engineering, ETL processes, and dimensional data modeling, along with advanced skills in Python and SQL. You will collaborate with various teams to deliver business insights and resolve data issues. Gemini offers a competitive salary, bonus, equity grant, comprehensive health plans, 401k matching, paid parental leave, and flexible time off.

Requirements

• 5+ years experience in data engineering with data warehouse technologies
• 5+ years experience in custom ETL design, implementation and maintenance
• 5+ 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

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

Preferred Qualifications

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

Benefits

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off
• In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle