Sr. Data Engineer
Infrastructure & Modeling
Company: fairlife, LLC
Location: Chicago
Posted on: May 6, 2024
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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, translating
technical requirements from our factories into targeted solutions
that fit into fairlife s broader data framework, architecture, and
roadmap. In addition, this role will support the establishment of
enterprise-wide best practices for our data modeling and
infrastructure as code applications.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 leading agile routines (stand-ups, sprint
plannings, backlog management, etc.)Experience with Azure cloud
resources and bicep templatingStrong understanding of data
warehousing and Kimball MethodologyAbility 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 data streaming and integration tools
(WebSockets, REST APIs, etc.)position 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, Mishawaka , Sr. Data Engineer
Infrastructure & Modeling, Engineering , Chicago, Indiana
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