Data Engineering Student
- Data Engineer
- Other places
- 06/17/2024
- -
Job Details:
Join Intel as a motivated Data Engineering Student within our Product Data and Analytics (PDA) team. We are a dynamic, innovative team tasked with developing a state-of-the-art, high-scale cloud-based solution. Our cloud solutions leverage a microservices architecture and managed cloud services to create a cutting-edge SaaS data lakehouse. This modern solution includes self-service capabilities, ingestion/consumption services, and other features designed to help data professionals within Intel’s design teams make informed, data-driven decisions.
In your role as a Data Engineering Student, you will collaborate with our team of Data and Software Engineers to provide top-tier analytics solutions using advanced data technologies such as Databricks (Spark), Azure Data Factory, SQL, and NoSQL databases. Your key contributions will include:
To be considered for this position, you should be:
Bonus Qualifications:
Job Type: Student / Intern
Shift: Shift 1 (Israel)
Primary Location: Israel, Haifa
Additional Locations:
Intel's IT Group designs, deploys, and supports the information technology architecture and hardware/software applications for Intel. This includes LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is responsible for e-Commerce development, data hosting, and the delivery of web content and services.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, military and veteran status, marital status, pregnancy, gender identity, sexual orientation, or any other characteristic protected by local law.
This role is eligible for our hybrid work model, allowing employees to split their time between on-site work at their assigned Intel location and off-site work. Certain circumstances may require adjustments to the work model to meet business needs.
Company Name: Intel
Job Title: Data Engineering Student