We are looking for an Analytics Engineer who lives at the intersection of data engineering and business intelligence — someone who can own the full lifecycle of data, from raw ingestion to trusted, decision-ready outputs. You are equally comfortable writing production-grade SQL and Python as you are talking to a stakeholder about what a metric actually means. You care deeply about data quality, pipeline reliability, and the downstream impact of every model you build.

Core Competencies:

• Advanced SQL : CTEs, window functions, query optimization, complex joins. You write SQL that others can read and maintain.
• Python for Data : pandas, PySpark or similar. Scripting for transformation, automation, and glue logic across the stack.
• Data Transformation : dbt or equivalent. Modular, tested, documented data models that are production-ready and reusable.
• Pipeline Architecture : End-to-end understan...