Data Engineer (SW)

Cupertino, CA

12 months

Hybrid (3 days in office/week)

Hours: 40 per week

 

Role Overview

We are seeking a Data Engineer with strong data pipeline development skills and hands-on experience managing containerized workflows in Kubernetes and Docker. This role combines traditional data engineering responsibilities with infrastructure-focused work to support deployment, monitoring, and automation of data services.

 

Key Skills

•            SQL

•            Python

•            Bash/Shell scripting

•            Spark

•            Airflow

•            Snowflake

•            DBT

•            AWS S3

•            Kubernetes

•            Docker

•            CI/CD

•            GitHub

•            DevOps

 

Key Requirements

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