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Sr. Data Engineer
Integrations

Company: fairlife, LLC
Location: Chicago
Posted on: June 10, 2024

Job Description:

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers.With nearly $2B in annual retail sales, fairlife s portfolio of delicious, lactose-free, real dairy products includes: fairlife ultra-filtered milk; Core Power High Protein Shakes, a sports nutrition drink to support post-workout recovery; fairlife nutrition plan , a nutrition shake to support the journey to better health.A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation.To learn more about fairlife and its complete line of products, please visit fairlife.com.
job purpose: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.responsibilities: Integration of factory data into on-premise and cloud-based Azure IoT tools to support the reliable, consistent consumption of real time dataDesign, implement, and operationalize data pipelines to support the data lifecycle for our factory IIoT dataDesign, develop, and deliver the platforms and tools needed for optimal extraction, transformation, and loading of factory IIoT dataSupport the development and delivery of a Unified Data Model for our factories and the fairlife enterprisePartner with manufacturing stakeholders to ensure data validity and platform buy-inSupport delivery of a master data solution for IIoT and enterprise dataDesign and deliver solutions to support real-time factory data streaming, condition monitoring, and predictive maintenanceWorking closely with 3rd party data architects and internal data team to develop deep understanding of our data ecosystemProvide training and support the technical development of fellow team membersskills/qualifications: required:Bachelor's degree in data/computer science, an engineering discipline, or related3+ years of work experienceProficiency in SQLProficiency in at least one object-oriented language (Python, Java, C#, etc.)Experience with ETL job schedulers (Apache Airflow, Azure Data Factory, etc.)Experience with SSISExperience with data streaming and integration tools (WebSockets, REST APIs, etc.)Ability to handle ambiguity and work in a fast paced, entrepreneurial environmentpreferred:Work experience in or related to manufacturingExperience with telemetry or time-series data sourcesExperience with pipeline automation and unit testingFamiliar with Azure cloud resources and bicep templatingposition location: Chicago, ILreports to: Sr Data Engineer, Data & Decision Intelligencetravel requirements: 10-15%
fairlife, LLC is an equal opportunity employer. We do not discriminate on the basis of--race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All qualified applicants and employees will be given equal opportunity. Selection decisions are based on job-related factors.In addition to its nondiscrimination commitment, the Company will also provide reasonable accommodation of qualified individuals with known disabilities unless doing so would impose an undue hardship on the Company. If you have a disability and would like to request accommodation in order to apply for a position with us, please email--careers fairlife.com.

Keywords: fairlife, LLC, Chicago , Sr. Data Engineer
Integrations, Engineering , Chicago, Illinois

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