Sr Specialist Data Engineer
hace 2 semanas
**Senior - Data Engineer** **/ Developer**:**Foods people love. Brands people trust. And a career that nourishes future like no other**If you're driven by the passion to do something meaningful that changes lives, Nestlé is the place for you. Nestlé USA (NUSA) is one of seven operating companies that make up Nestlé's presence in the United States. We're in 97% of American homes, and as the top tier food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact.We're determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our ambitious culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn, advance your career, and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, it's about enriching you.**Position Summary - Your Impact**:The Enterprise Analytics Senior Data Engineer / Developer will serve as a data engineering expert across Enterprise Analytics (EA) initiatives currently in flight or being planned at NUSA, by building, streamlining, and enhancing data pipelines to drive profitable growth across the enterprise. The overall objective is to enable diagnostic evaluation and data-driven decision making in everyday problem solving across the enterprise.- Design data preparation pipelines, conduct evaluation of model performance, and deploy models to support operational decision making across the enterprise.- Acquire deep understanding of business problems and translate them into appropriate data pipelines.- Act as an internal consultant by collaborating with NUSA IT, EA data science and data teams, and business stakeholders to identify and scope opportunities, performing data analysis, and generate self-service solutions to address needs.- Interpret the results, draw conclusions, and present findings / recommendations to appropriate groups to help identify actionable steps to be taken by cross-functional and leadership teams.- Work with data scientists and machine learning engineers to define use of the data models and train users on integration.**Primary Responsibilities - What You’ll Do**:- Test and implement data engineering approaches/methods to derive insights that drive business growth- Incorporate the latest data processing and efficiency improvement techniques into NUSA’s solutions and models- Collect, cleanse, and understand complex data sources to enable proper data modeling, cleansing, and integration- Define and develop programming for self-service decision support solutions that leverage data optimization tactics**Requirements and Minimum Education Level**- Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, or a similar field. Master’s degree strongly preferred**Necessary Skills & Qualifications**:Proficiency with one of: Python, R, Spark/PySpark/SparkRExperience delivering solutions into an IT-managed production environment (i.e. not non-enterprise / academic experience)Experience with cloud infrastructure (Azure, AWS, etc)Experience visualizing / presenting data to partners
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