We have multiple Data Engineer roles open across the US to be located preferably in Eastern Standard Timezone; near our HQ office in New Jersey; or near satellite offices in Rogers, AR; Minneapolis, MN and Cincinnati, OH.
Background & Purpose of the Job
The North America Data Engineer will work with peer data engineers to develop data solutions to support product analytics managers and data scientists. This role will be partnering with internal data scientists, product managers and external stakeholders across the business to deliver advanced analytics. The ideal candidate is an experienced data engineer with vast hands-on experience and leadership experience in leading projects and teams from the ground up.
Who You Are & What You’ll Do
Facilitate the team’s delivery of scalable, maintainable, performant data engineering solutions. Work through your teams to define/design solution options, evaluate technical feasibility, and provide estimates on effort and risk. Drive the design and implementation of new data projects and the optimization of existing solutions. Work with architecture and engineers to ensure quality solutions are implemented, and engineering best practices are defined and followed. Drive collaborative reviews of designs, code, and test plans. Define the team’s technical roadmap and influence its adoption. Anticipate, identify and solve issues concerning data management to improve data quality. Work across teams to resolve operational & performance issues. Identify and remove technical bottlenecks for your engineering teams.
In this role you’ll be working closely with passionate and driven Product Management team, Architects, Engineers, Data Analysts, Internal partners and other departments. They will span across various functional groups across the enterprise. You will be in contact with a wide range of great people. In all interactions, you will find success in teamwork, a positive attitude, and hard work. As a Data Engineer, in partnership with diverse team of smart, intelligent, and creative people. This allows us to be a driving force for building first-class solutions for North America Data & Analytics team and its business partners, working on development projects related to customer development, supply chain, commerce, consumer behavior and web analytics among others.
You’re a dot connector and storyteller: You like to unravel complex data, - building analytical tools that utilize the data pipeline to provide actionable insights, operational efficiency, and other key metrics.
You’re a changemaker: You are a self-starter you can work independently to identify, design and implement internal process improvement; driving change with new innovative solutions, optimizing data delivery, re-designing for greater scalability.
You’re a paradox navigator: Enable data driven decision-making across customer development, supply chain, consumer marketing insights, and disrupting data silos.
You’re a culture & change champion: Be an advocate and set an example of digital cultural.
You love to win, and have fun doing it: Transform the way Unilever operates with a proactive, informed risk-taking, winning attitude!
What You Will Bring
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Bachelor’s Degree in Computer Science, Information Systems, Business or related field or equivalent combination of education and experience with 3+ years of experience in large-scale software development and data engineering
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Ability to define/design solution options, evaluate technical feasibility, and provide estimates on effort and risk
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Experience working with data sources such as IRI, Nielsen, Retailer POS systems, Panel data such as Numerator and Nielsen/IRI Panel required, in support of retail such as Walmart, Target, Amazon, Dollar General, Kroger a huge plus!
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Solid foundation in data structures, algorithms, and architecture patterns
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Experience building distributed / cloud scalable, high-performance data solutions
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Experience with batch processing frameworks and programming in tools such as Python, SQL, Spark and Hive
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Experience with messaging/streaming/complex event processing tooling and frameworks with an emphasis on Spark Streaming or Structured Streaming or Apache Nifi
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Experience with data warehousing related concepts - e.g. SQL and SQL Analytical functions
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Experience in Agile/Scrum application development
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Familiarity with the principles of Domain Driven Design
The following skills and experience are also relevant to our overall environment, and nice to have:
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Experience working in a public cloud environment, particularly Microsoft Azure
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Experience building RESTful API’s to enable data consumption
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Experience in developing Power BI dashboards using DAX, Power Automate flows, Web Applications
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Experience with practices like Continuous Development, Continuous Integration and Automated Testing
Pay: The pay range for this position is $83,200 to $124,700. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs.
Bonus: This position is bonus eligible.
Long-Term Incentive (LTI): This position is LTI eligible.
Benefits: Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
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Unilever is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.
Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check.
If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at
NA.Accommodations@unilever.com
. Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses.
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