Data Science Jobs- USA

Keurig Dr Pepper | Data Engineer Summer Co-Op ’23 | Burlington, MA | United States | BigDataKB.com | 2023-01-15

16/01/2023

Job Location: Burlington, MA

Job Detail:

Job Overview:

As a Data Engineer Summer Co-Op ’23 in Burlington, MA at Keurig Dr Pepper (KDP), ), you will be a part of the beverage revolution. You will be working in a supportive, highly technical manufacturing environment that produces some of KDP’s most recognized beverages in the industry. You will have real responsibilities and will be provided opportunities to grow professionally. Come learn what it takes to succeed at an industry-leading company and help contribute to our ongoing success. We are looking for a Data Engineer who can develop ETL data pipelines to collect data from multiple sources, process the data and leverage the same to meet various business requirements. Candidate should have sound knowledge in SQL scripting.

Responsibilities for Data Engineer

Create and develop optimal data pipeline using ETL tools
Develop complex sql scripts to process and retrieve the data from data warehouse
Assemble large, complex data sets that meet functional / non-functional business requirements
Optimize the data delivery and date pipelines to process big data
Work with stakeholders including the Engineering & Product Management to assist with data-related needs

Shift/Schedule:

The KDP 2023 Summer Co-Op Program will run from June 26-Dec 8 2023
Full-time; 40 hours per week
Monday-Friday
8:00am until 5:00pm
Hybrid

Compensation:

Pay at $27 per hour
Paid bi-weekly

Requirements:

Qualifications for Data Engineer

Must be an undergraduate currently enrolled in a full time academic program from an accredited college or university, majoring in Data Engineering, Data Science, or related fields
Available to work 40 hours per week (M-F, 8-5) in Burlington, MA

Advanced SQL scripting expertise and knowledge working with relational databases, no sql databases, query authoring (SQL) as well as working familiarity with a variety of database
Build and optimize big data pipelines, architectures and data sets
Perform root cause analysis on data , answer specific business questions and identify opportunities for improvement
A successful history of transforming, processing and extracting data from large data warehouse
Experience supporting and working with cross-functional teams in a dynamic environment

Following skills would be considered as a plus

Ability to create reports using Microsoft Power BI
Knowledge in developing machine learning data models

Work visa sponsorship is not available for this position, including CPT/OPT.

We incorporate HireVue, an automated interview tool, into our campus recruitment process. Please visit this link to learn more about HireVue and how to prepare. *We recommend checking with your campus career center for additional preparation resources such as InterviewStream, Big Interview and mor

Company Overview & EEO Statement:

Keurig Dr Pepper (KDP) is a leading coffee and beverage company in North America with dual headquarters in Burlington, MA and Plano, TX, with annual revenue in excess of $11 billion. KDP holds leadership positions in soft drinks, specialty coffee and tea, water, juice and juice drinks and mixers, and markets the #1 single serve coffee brewing system in the U.S. The Company maintains an unrivaled distribution system that enables its portfolio of more than 125 owned, licensed and partner brands to be available nearly everywhere people shop and consume beverages. With a wide range of hot and cold beverages that meet virtually any consumer need, KDP key brands include Keurig®, Dr Pepper®, Green Mountain Coffee Roasters®, Canada Dry®, Snapple®, Bai®, Mott’s® and The Original Donut Shop®. The Company employs more than 25,000 employees and operates more than 120 offices, manufacturing plants, warehouses and distribution centers across North America.

Keurig Dr Pepper Inc. is an equal opportunity employer and affirmatively seeks diversity in its workforce. Keurig Dr Pepper Inc. recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. EOE Minorities/Females/Protected Veterans/Disabled

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