IT Advisor - Technology Consulting- Digital and Data Analytics - Data Engineer-Mgr - Multiple Pos.

Ernst & Young
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Job Description

Help clients navigate the complex world of modern data analytics. Provide clients with a unique business perspective on how Data Analytics can transform and improve their entire organization, applying a data driven approach (KPIs) in tying technology solutions to specific business outcomes. Meet client goals by deliver the latest in data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Analyze business needs and clarify problems, seeking opportunities for improving methods and outcomes. Communicate findings, recommendations, and opportunities to improve data systems and solutions. Apply a deep understanding of database technology, concepts, tools, features, functions and benefits of different approaches to design, architect, and develop solutions leveraging relational and NoSQL database technologies to ingest, process and analyze large, disparate data sets. Unify, enrich and analzye customer data to derive insights and opportunities. Seek information to learn about emerging methodologies and technologies. Collaborate, influence and build consensus.

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.MINIMUM REQUIREMENTS:

Bachelor's degree in Mathematics, Information Systems, Statistics, Computer Science, or related field and 5 years of post-bachelor’s progressive related work experience. Alternatively, employer will accept a Master's degree Mathematics, Information Systems, Statistics, Computer Science, or related field and 4 years of related work experience. 
• Must have 4 years of professional services and/or consulting experience. 
• Must have at least 4 years of hands-on experience with various relational and NoSQL database technologies, including SQL Server, DB2, Oracle, Cassandra, MongoDB, Azure DB and Neo4J. 
• Must have a minimum of 2 years of hands on experience with architecture and implementation of data warehouse and ETL solutions. 
• Must have 3 years of experience with logical and physical data modeling. 
• Must 4 years of experience with SQL, C#, R and Typescript/Javascript. 
• Must have 2 years of experience in API development and 3-tier application development 
• Must have 2 years of experience with big data platforms, Microsoft Azure technologies and server-less environment. 
• Must have 2 years of experience leading teams of data professionals. 
• Travel required to meet client needs up to 80%.
• Any suitable combination of education, training, or experience is acceptable.

Company Info.

Ernst & Young

Ernst & Young Global Limited, commonly known as Ernst & Young or simply EY, is a multinational professional services network with headquarters in London, England. EY is one of the largest professional services networks in the world.

  • Industry
    Management Consulting
  • No. of Employees
  • Location
    London, England, UK
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