Analytics Engineer

Summary

Join Gemini's Data team as an Analytics Engineer and contribute to high-quality data solutions impacting the team's architecture. You will leverage your expertise in big data, data warehousing, and reporting to design and implement scalable data pipelines. Your analytical skills will be crucial in deriving actionable insights and resolving complex data issues. Collaborate with product managers and engineers to drive firm-wide insights. Strong communication skills are essential for conveying your findings to organizational leaders. This role offers a competitive salary, bonus, equity grant, comprehensive health plans, 401k matching, paid parental leave, and flexible time off.

Requirements

• 2+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)
• Advanced skills with SQL are a must
• 2+ years experience in custom ETL design, implementation and maintenance
• 2+ years experience with schema design and dimensional data modeling
• Experience making sense of data and developing actionable insights
• Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL frameworks (Custom, DBT, Databricks, etc)
• Experience with statistics, machine learning and generative AI
• 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
• 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 production using Python
• Design, build and enhance dimensional models for Data Warehouse and BI solutions
• Perform analysis to derive actionable insights for key stakeholders
• 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

Preferred Qualifications

• Proficient in Developing LookML
• Proficient in Python
• Knowledge and experience of financial markets, banking or exchanges

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