Data Engineer III at Simplot utilizing advanced data engineering principles and cloud data tools. Collaborating in a team to support data solutions for food and agriculture industry.
About the role
- Analytics and Business Intelligence Engineer at EY transforming data into insights for clients. Leading advanced analyses and solutions to complex business challenges with a focus on big data.
Responsibilities
- Bring order and structure to structured and unstructured data
- Prepare analysed data in visual formats that are accessible to clients and stakeholders
- Solve multiple and complex business problems utilizing cloud-scale statistical techniques
- Lead big-data problem solving to collect, analyze, and present findings and solutions
- Serve as the go-to resource for understanding clients’ problems through data gathering and analysis
- Solve complex analytical problems to bring data to insights and enable ML and AI for clients
- Lead delivery of service in big data, business intelligence, and digital analytics
- Drive efforts to design, architect, and develop solutions to ingest, process and analyze large data sets
Requirements
- Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering, Mathematics, Statistics, Machine Learning, Management Information Systems (MIS), or a related field and 5 years of progressive, post-baccalaureate work experience
- Alternatively, will accept a Master’s degree in the same fields and 4 years of work experience
- 4 years of experience in quantitative modeling and analysis focusing on big-data problem solving
- 4 years of hands-on experience in python and SQL
- 3 years of experience with any cloud platforms (Azure, Amazon, Google)
- 4 years of experience in navigating database models to build data sets for analytics and model training and development
- 2 years of experience modelling data in Power BI and other PowerApps
- 1 year of experience in the delivery of intelligent automation services including operating model/strategy, opportunity assessment, discovery and requirements definition, solution architecture and design, development, testing and production release
- 1 year of experience in quantitative analysis using Agile methodologies or robotics tool-specific methodologies
- 3 years of experience with data manipulation tools and libraries SQL, Pandas, or Spark
- 1 year of experience with containerization and scaling models as well as integrating models and feedback from downstream consumption systems
- 1 year of experience directly managing technical teams
- Requires travel up to 80%, of which 10% may be international
Benefits
- medical and dental coverage
- pension and 401(k) plans
- a wide range of paid time off options
- flexible vacation policy
- designated EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care
- other leaves of absence when needed to support your physical, financial, and emotional well-being
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