Jobs and Careers
EY

Data Engineer - Senior - Consulting - Location OPEN

EY
New York City, United Statesfull_timeVerifiedPosted 13 Aug 2024
💰 $198,600/yr($105,800/yr$198,600/yr)

About the role

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.   The exceptional EY experience. It's yours to build.   EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.  

Big Data & Analytics Engineer, Senior - Tech Consulting

EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients.  At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals. 

 

The opportunity

You will help our clients navigate the complex world of modern data analytics.  We'll look to you to provide our clients with a unique business perspective on how Big Data analytics can transform and improve their entire organization – starting with key business issues they face.  This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career. 

 

Your key responsibilities

You'll spend most of your time working with a wide variety of clients to deliver the latest big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyse data from multiple sources.   

 

Skills and attributes for success

  • Designing, Architecting, and Developing solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements
  • Unifying, enriching, and analyzing customer data to derive insights and opportunities
  • Leveraging in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements
  • Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
  • Demonstrating deep understanding of big data technology, concepts, tools, features, functions and benefits of different approaches
  • Seeking out information to learn about emerging methodologies and technologies
  • Clarifying problems by driving to understand the true issue
  • Looking for opportunities for improving methods and outcomes
  • Applying data driven approach (KPIs) in tying technology solutions to specific business outcomes
  • Collaborating, influencing and building consensus through constructive relationships and effective listening
  • Solving problems by incorporating data into decision making     

 

To qualify for the role you must have

  • A bachelor's degree and approximately three years of related work experience; or a master's degree and approximately two years of related work experience'
  • Bachelor's or Master's Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
  • Hands-on development experience in python and SQL.
  • Hands-on experience with any Gen AI platform (OpenAI GPT..etc).
  • At least three years hands-on experience with various Cloud and Big Data technologies  
  • Minimum of 3+ years of professional Consulting / Development experience in business or technology consulting or similar roles
  • Strong SQL skills
  • Experience with at least one cloud platform; Azure, Amazon, or Google.
  • Knowledge of and some experience with container technology like docker, kubernetes etc.

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Company

EY

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