This role will assign the data engineering efforts for the **Uer Platform (CDP)** and **Recommendation Engine**, ensuring data accuracy, performance, data alignment and security across pipelines connecting **Snowflake, Postgres, Kafka, and API Gateway** services.
You’ll collaborate with ML engineers, backend teams, and business stakeholders to build reliable, high-performance data systems that support insights, automation, and machine learning use cases
This role will lead the data governance best practices and communication cross the organization.

Requirements

3-8 years of experience in Data Engineering, with **data governance responsibilities **.
SQL and Python skills, with proven experience building **ETL/ELT** at scale.
Understanding of **Snowflake performance tuning**, **query optimization**, and **warehouse orchestration**.
Understanding of **data modeling** (Kimball, Data Vault, or hybrid).
Familiarity with **API-based data integration** and **microservice architectures**.
Excellent cross-functional communication — can translate between engineering and business.
Hands-on problem solver who balances velocity with reliability.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonETLELTSnowflake performance tuningquery optimizationwarehouse orchestrationdata modelingAPI-based data integrationmicroservice architectures

Soft Skills

cross-functional communicationproblem solving