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Colgate-Palmolive


Jobs

Data Engineer, Architecture & Advanced Technology

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Posted on: February 22, 2021 Apply Now
Piscataway, NJ External Post-Graduate Job Expires March 14, 2021

This position is posted from an outside job board or employer website for the convenience of Yale students. Please note this position was not posted directly at Yale by the employer, and therefore the employer has not reviewed or agreed to any of Yale’s recruiting policies: https://ocs.yale.edu/ocs-policies/. The University does not endorse or recommend employers, and a posting does not constitute an endorsement or recommendation. The University makes no representations or guarantees about job listings or the accuracy of the information provided by the employer. The University is not responsible for safety, wages, working conditions, or any other aspect of off-campus employment. It is the responsibility of students to perform due diligence in researching employers when applying for or accepting opportunities.

We are thrilled to invite applications for the position of Data Engineer within our team in Piscataway, New Jersey! Data Engineers focus on expanding and optimizing our data, data pipeline architecture, data flow and collection for multi-functional teams. The Data Engineer will be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. You will support our software developers, data analysts and data scientists on data initiatives and will ensure efficient data delivery architecture is consistent throughout ongoing projects. You must be proactive and comfortable supporting the data needs of multiple teams, systems and products. You will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. This team is a group of innovators and technologists that love to learn and collaborate!

Main Responsibilities:

  • Build and maintain optimal data pipeline architecture

  • Assemble large, sophisticated data sets that meet functional / non-functional business requirements.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Build the infrastructure required for efficient extraction, transformation, and loading of data from a wide variety of data sources

  • Assist with data-related technical issues and support their data infrastructure needs.

  • Build data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

  • Work with data and analytics specialists to strive for greater functionality in our data systems. Basic Qualifications:

  • Bachelor’s degree or Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field a plus

  • Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases required

  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.

  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.

  • A successful history of manipulating, processing and extracting value from large disconnected datasets.

  • Experience supporting and working with multi-functional teams in a dynamic environment.

  • Also have experience using the following software/tools:

  • Experience with relational SQL and NoSQL databases: MongoDB, Neo4j, etc required

  • Experience with cloud services: GCP, AWS, etc required

  • Experience with object-oriented/object function scripting languages: Python, Java, etc. required

  • Experience with big data tools: Hadoop, Spark, Kafka, etc a plus

  • Experience with Data Flow, Data Pipeline and workflow management tools: Cloud Composer, Airflow, Luigi, etc preferred

Apply Now

CONTACT & LOCATION

Phone
(203) 432-0800
Email
careerstrategy@yale.edu
Address

55 Whitney Avenue, 3rd Fl.
New Haven, CT 06510

SERVICE HOURS

  Academic Year Summer Hours
M 8:30am - 5pm 8:30am - 4:30pm
T 8:30am - 5pm 8:30am - 4:30pm
W 8:30am - 5pm 8:30am - 4:30pm
TH 8:30am - 5pm 8:30am - 4:30pm
F 8:30am - 5pm 8:30am - 4:30pm

The office is closed weekends, holidays, and recess days.

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Office of Career Strategy

The Office of Career Strategy works with students and alums of Yale College and Yale Graduate School of Arts and Sciences as well as Yale postdoctoral scholars from all disciplines. The Office of Career Strategy advisors help students, alums, and postdocs to clarify career aspirations, identify opportunities, and offer support at every stage of career development. Services offered by the Office of Career Strategy for Masters and Ph.D. students are part of a suite of resources supported by the Graduate School of Arts & Sciences to foster professional and career development. Career support for undergraduates is a part of a collection of support offered by the Center for International & Professional Experience.

Contact

55 Whitney Avenue, 3rd Fl.
New Haven,CT 06510
(203) 432-0800
careerstrategy@yale.edu

About CIPE

The Yale College Center for International and Professional Experience (CIPE) is a group of offices that work together, and with other academic advisers on campus, to support undergraduate students throughout their four years at Yale as they make decisions about their academic plans and explore career options. CIPE is composed of the Office of Career Strategy, the Yale College Office of Fellowships, Yale Summer Session, and Yale College Study Abroad.

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