Job Description

Role summary

  • We're hiring a hands-on Data Engineer to build and own the reporting/analytics data pipeline. You'll turn raw event streams and legacy datasource records into well-structured, high-performance datasets used by Looker and our web applications. This role sits at the intersection of real-time streaming, analytical storage (ClickHouse, OLAP engines), and product instrumentation. You'll design data models, author roll-up jobs, perform gap analysis, and help improve legacy reporting.

Key responsibilities

  • Design, implement, and operate ETL/ELT pipelines that consume raw events and legacy data sources (batch + stream).
  • Build and maintain a core highly-granular event table (single source of truth) and a set of optimized rolled-up reporting tables for fast Looker/BI queries and front-end reporting.
  • Implement minute / near-real-time rollups and support re-roll/ re-computation when late data arrives.
  • Work with streami...

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