Role :
Data Engineering Intern
Location :
As per Business Need
JOB DESCRIPTION:
We are excited to announce an opening for a Data Engineering Intern in the External Manufacturing Production (EMP) department. This team supports the Global External Manufacturing (GEMS) organization. We are looking for a motivated individual with a strong affinity for data and a proven track record in delivering analytics and data solutions within the supply chain domain.
As a Data Engineering Intern, you will be an integral part of our team, supporting our globally dispersed EMP organizations. We operate using the SCRUM methodology, working on a variety of projects and contributing across a wide range of skillsets. Your role may involve creating a Python package from an advanced analytics model developed by our data scientist, or creating SQL stored procedures to transform data sourced from various origins. If you have the capability, you might also create or modify dashboards using Plotly/Dash.
If you thrive in diverse domains and are ready to take on new challenges, this is the perfect opportunity for you. We are looking for someone who is eager to learn, ready to tackle new challenges, and willing to contribute to the team in various capacities.
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What you will do
Learning how to operate within a large organization
Adapting to the SCRUM methodology
Developing Python applications or SQL queries and stored procedures
Performing experiments in new domains
Collaborating with Intel engineers to help them achieve their quarterly key results
The ideal candidate should exhibit the following behavioral traits:
Excellent written and verbal communication skills in English, with the ability to clearly communicate project status, risks, and required assistance
A self-starter who is responsible, dependable, and inquisitive
A desire to drive change and infuse a new mindset to streamline our business
A willingness to challenge the status quo and a passion to drive smart change using data
Education Required:
- The candidate must be a university student in Data Analytics/Engineering, Computer Science, Machine Learning, or Mathematics
skills
Python or other object-oriented languages
Software development
SQL or database experience
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