Senior / Analytics Engineer
Core
Design data models, schemas, and pipelines while developing and testing custom analytical logic and algorithms to drive commercial decisions for enterprise clients.
Role type
Senior Analytics Engineer
Builds
Production data models, schemas, and pipelines for enterprise clients
Domain
Data Engineering and Data Science
Deliverable
production ML models
Required skills
Python, SQL, database normalization, schema architecture, version control systems (Git), algorithm validation, multi-dimensional numerical frameworks
Preferred skills
Databricks, PySpark, Product company experience, startup experience, commercial SaaS enterprise experience
Technologies
Python, SQL, Git, Databricks, PySpark
Responsibilities
Transform data by breaking down commercial goals from complex datasets; Develop, test, and iterate on custom analytical logic and business-critical algorithms; Design end-to-end data models, schema design, data pipelines & quality boundaries; Interpret data in the context of enterprise client operations; Act as a bridge between Product Management, backend engineering and data teams
Seniority
Senior, hands-on IC