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 experience, including deploying, managing, and troubleshooting workflows
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