REMOTE - Data Engineer

Company

Nestlé Purina North America

Location

Remote

Type

Full Time

Job Description

We're a leader in the pet care industry, which means we're not only ahead in volume, profit and market share, but our associates dare to Stand Taller. We innovate new products, impart new agilities into existing processes, constantly advance pet nutrition, and always pay it forward in the form of service for our communities and families. Are you up for the dare?

Position Summary

As a Sr. Data Engineer you will be part of a team dedicated to delivering quality and efficient solutions for our manufacturing sites through data strategy and quality. You will work with the Machine Learning Team to identify data sets that will need to be developed and deployed into the Azure platform. You will be responsible for transforming and developing data solutions to support improving efficiency and quality within our factories.

Primary Responsibilities

  • Construct, deploy, test and support solutions and applications to transform data for end-user consumption using Python, Azure Data factory, Inmation, and Databricks
  • Construct, deploy, test and support data storage in large data constructs as well as relational and other database technologies
  • Assess and evaluate system designs to ensure adherence to architecture and design best practices
  • Provide data analysis of internal and external data sources for transformation and delivery to end user solutions.
  • Develop notebooks for processing and monitoring data flows in Databricks with Python
  • Enable Power BI users and solutions by delivering data via Dataflows, Datasets, and other methods
  • Ensure developed applications are compliant and adhere to all applicable Nestle compliance standards.
  • Contribute to team objectives through iterative and agile development practices.


Basic Qualifications

  • 3+ years of experience with ETL processes and cloud technologies.
  • Prior experience with data architecture principles, and functional knowledge and understanding of data engineering, design, and integration
  • Previous development experience within Python writing code from scratch in a work environment.
  • Experience with query languages SQL, MDX, and DAX


Preferred Qualifications

  • Bachelor's Degree in Computer Science or related field
  • Experience with Microsoft Azure Platform. In particular, the data processing toolsets including Azure Data Factory Pipelines, Azure Databricks, Azure Data Lake Storage
  • Experience using Azure DevOps or Jira or a source control tracking system
  • Experience with Historian, Sensors, or IOT
  • Knowledge of additional programming languages (C# or Java)


Requisition ID

168687

It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestle. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestle seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestle home.

The Nestle Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at [email protected] or please dial 711 and provide this number to the operator: 1-800-321-6467.

Date Posted

09/07/2022

Views

5

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