Description
Full job description
A good student experience is never hands-off. We are dedicated to fostering a dynamic learning environment where students actively engage in practical experiences throughout their time with us. From the beginning, students are entrusted with specific responsibilities, ensuring they play a significant role in their learning journey. As valued team members, students are also encouraged to share and implement their own ideas, enhancing both their personal growth and the collective success of the team.
Description
This position will work with Data Scientists and Data Engineers for the production implementation of multiple use cases for our Big Data Cluster on-prem as well as our Big Data cloud solution.
The qualified intern should expect to contribute & improve in the following functions:
Support the creation and maintenance of data pipeline architecture.
Assist in the assembly of large complex data sets that meet functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data deliver, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Keep our data separate and secure across different business organizations.
Work with data and analytics experts to strive for greater functionality in our data systems.
Communicate with other team members and customers with tools such as Outlook, skype, and teams.
Update and track tasks with tools such as jira and confluence.
Migration from On-Prem to Cloud Data Hub: The migration to Cloud is planned for Q2 2020. This involves, data ingestion into cloud using teraform scripts, glue catalog, glue jobs, depersonalization APIs and creating views in cloud for end user consumption.
HR Use Cases: Several data assets are reqired to be ingested into cloud, the data transformation activities are required to prep the data for reporting. The reports must be integrated with the Cloud Data Hub.
6C – This project requires 86 tables to be ingested from DB2 to Cloud Data Hub. The data flattening scripts will transform the data and will create views for dashboards. The reports must be integrated with the Cloud Data Hub.
Qualifications
Pursuing a degree in Computer Science, Data analytics, or similar.
Experience with Python.
Experience with Spark.
Possess a minimum cumulative GPA of 3.0 (not just in major).
Have enrolled student status at an accredited four-year college or university in the United States.
Completed at least 30 credit hours at time of application.
Ability to work full-time on-site (40 hours / week).
Must Commit to three co-op rotations as an enrolled student.
Transfer students must have a GPA from current university.
MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT.
Complete and pass a substance abuse test before the work term.
THE WORK TERM DATES ARE August 11th-December 12th, 2025.
BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Company
BMW Group
With its four brands BMW, MINI, Rolls-Royce and BMW Motorrad, the BMW Group is the world’s leading premium manufacturer of automobiles and motorcycles and also provides premium financial and mobility services. The BMW Group production network comprises over 30 production sites worldwide; the company has a global sales network in more than 140 countries.
In 2023, the BMW Group sold over 2.55 million passenger vehicles and more than 209,000 motorcycles worldwide. The profit before tax in the financial year 2023 was € 17.1 billion on revenues amounting to € 155.5 billion. As of 31 December 2023, the BMW Group had a workforce of 154,950 employees.
The success of the BMW Group has always been based on long-term thinking and responsible action, from the supply chain through production to the end of the use phase of all products.
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