Our client, is a Consumer Products And Software Services company, is looking for a Data Engineer (SW) for their Cupertino, CA/Hybrid location.

 

Responsibilities:

• Build and maintain scalable ELT pipelines using SQL and Python


• Deploy, manage, and monitor containerized data workflows in Kubernetes and Docker


• Collaborate cross-functionally to deliver reliable and well-documented data solutions


• Implement automation and monitoring to improve system performance and reliability


• Support urgent reporting requests and ad-hoc data analysis needs

 

Requirements:

• 2–5 years of experience in Data Engineering, Software Engineering, or Analytics


• Strong SQL and Python skills with comfort working in Bash/Shell


• Hands-on experience with Spark, Airflow, Snowflake, DBT, and AWS S3


• Strong Kubernetes and Docker ...