At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions, proven in the harshest environments, enable advancements in transportation, industrial applications, medical technology, energy, data communications and the home. With approximately 85,000 employees, including more than 8,000 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, and X (formerly Twitter).
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Segment, Business Unit or Corporate Group
This position will be part of the GLOBAL TEIS--TEIS is a diverse, global partner to all of TE's businesses and functions. The TEIS team is comprised of multiple Centers of Excellence (CoEs) in Digital, Infrastructure and Security, Application Services and our CIO Business Office
Work Location
The location for this position is REMOTE (Street Address: REMOTE)
Job Overview
As an Intern in the Global TEIS Business Unit, you will:
Shows a proactive attitude towards collaborating with various teams, yet possesses the initiative to work autonomously when necessary; pays attention to details and is focused on implementing solutions effectively by taking feedback from TE SMEs
Hands-on prototyping of new technology solutions around Data and Analytics
Build data lake and data warehouse application using PL/SQL, AWS and related technologies.
Coordinate with Technical teams through all the phases in the software development life cycle for Data and Analytics projects
Responsibilities:
Help implement our vision for Data and analytics platform
Develop systems and tools to allow data processing both on cloud and on-prem.
Desirable skills for Data Platforms include familiarity with PL/SQL, AWS S3, EMR, Redshift, ETL processes
Help with design, implementation, testing, and support of next-generation features related to scalability, reliability, robustness, usability, security, and performance
Strong understanding of core computer science principles and the ability to develop structured and maintainable code