Data Analytics Engineer: Build Scalable ELT Pipelines
Summary
Builds and optimizes ELT data pipelines and the Snowflake warehouse for Kiddom's SaaS stack, partnering with Data Science to model data, implement quality controls, and integrate third-party sources for reliable product analytics. Core tools: SQL, Python, Snowflake, ELT tooling, and infrastructure-as-code.
Kiddom is hiring a Data Analytics Engineer to build and optimize data pipelines and the Snowflake warehouse, enabling reliable product insights across the SaaS stack. You will partner with Data Science to model data, implement quality controls, and incorporate third-party sources for scalable analytics.
Ideal candidates have 4+ years in data engineering, strong SQL and Python, and hands-on Snowflake experience, with experience in ELT tools and IaC.