Camera Hardware Data Engineer

Apple • Cupertino, CA

3d

About The Position

In this role, you will work closely with data scientists, hardware engineers, hardware test, and manufacturing operations teams to build scalable data pipelines and solutions. As a camera hardware data engineer, you must effectively collaborate to bridge the gap between business needs, analytical solutions, and engineering requirements. Additionally, proactive collaboration with other data engineering teams is essential for scaling solutions across teams.

Requirements

• BS or higher in Computer Science, Data Engineering, Data Science, Math, or related fields
• Hands-on Experience using cloud data analytics platforms (i.e. Snowflake, Trino, BigQuery)
• Experience building data transformation pipelines using frameworks such as Data Built Tool (dbt) or Spark
• Experience in data modeling and data governance techniques (i.e. Row Access Policies, role-based access control (RBAC)

Nice To Haves

• Experience with pipeline orchestration frameworks such as Airflow
• Experience using BI tools such as Tableau or app frameworks such as Streamlit or Superset to build shareable and easy-to-understand data visualizations
• Experience in the use of Python frameworks like FastAPI to build cloud-native data access tools
• Experience designing and building relational databases (i.e. PostgreSQL) and non-relational databases (i.e. Redis, MongoDB)
• Working knowledge of Kubernetes for deploying and monitoring cloud-native applications

What This Job Offers

• Number of Employees: 5,001-10,000 employees