The Coca-Cola Company - Chicago, IL

posted 3 months ago

Full-time
Chicago, IL
Beverage and Tobacco Product Manufacturing

About the position

The Sr. Data Engineer will play a key role in delivering fairlife's ambition of building a best-in-class Data and Decision Intelligence (DDI) ecosystem. This role will support the digital transformation of our manufacturing operation and overall enterprise, translating technical requirements from our factories and stakeholders into targeted solutions that fit into fairlife's broader data framework, architecture, and roadmap. This role will support the integration of enterprise applications and disparate data sources into our OneLake platform to create a single source of truth for the enterprise decision making. The responsibilities include the integration of factory data into on-premise and cloud-based Azure IoT tools to support the reliable, consistent consumption of real-time data. The Sr. Data Engineer will design, implement, and operationalize data pipelines to support the data lifecycle for our factory IIoT data. Additionally, they will design, develop, and deliver the platforms and tools needed for optimal extraction, transformation, and loading of factory IIoT data. This position will also support the development and delivery of a Unified Data Model for our factories and the fairlife enterprise, ensuring data validity and platform buy-in by partnering with manufacturing stakeholders. Moreover, the role involves supporting the delivery of a master data solution for IIoT and enterprise data, designing and delivering solutions to support real-time factory data streaming, condition monitoring, and predictive maintenance. The Sr. Data Engineer will work closely with third-party data architects and the internal data team to develop a deep understanding of our data ecosystem and provide training and support for the technical development of fellow team members.

Responsibilities

  • Integration of factory data into on-premise and cloud-based Azure IoT tools to support the reliable, consistent consumption of real-time data
  • Design, implement, and operationalize data pipelines to support the data lifecycle for our factory IIoT data
  • Design, develop, and deliver the platforms and tools needed for optimal extraction, transformation, and loading of factory IIoT data
  • Support the development and delivery of a Unified Data Model for our factories and the fairlife enterprise
  • Partner with manufacturing stakeholders to ensure data validity and platform buy-in
  • Support delivery of a master data solution for IIoT and enterprise data
  • Design and deliver solutions to support real-time factory data streaming, condition monitoring, and predictive maintenance
  • Work closely with 3rd party data architects and internal data team to develop a deep understanding of our data ecosystem
  • Provide training and support the technical development of fellow team members

Requirements

  • Bachelor's degree in data/computer science, an engineering discipline, or related
  • 3+ years of work experience
  • Proficiency in SQL
  • Proficiency in at least one object-oriented language (Python, Java, C#, etc.)
  • Experience with ETL job schedulers (Apache Airflow, Azure Data Factory, etc.)
  • Experience with SSIS
  • Experience with data streaming and integration tools (WebSockets, REST APIs, etc.)
  • Ability to handle ambiguity and work in a fast-paced, entrepreneurial environment

Nice-to-haves

  • Work experience in or related to manufacturing
  • Experience with telemetry or time-series data sources
  • Experience with pipeline automation and unit testing
  • Familiar with Azure cloud resources and bicep templating
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