EY Senior Data Engineer in Jacksonville, Florida
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, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Enterprise Technology provides reliable, secure and resilient technology services and solutions to support over 300,000 EY people. As part of Enterprise Technology, you’ll be at the forefront of enabling innovative technologies including emerging collaboration tools and world-class technology infrastructure.
Our aim is to build an outstanding customer experience with clear investment in innovation, alongside operational excellence that delivers efficient, quality services and solutions. You will work with technologists and business specialists to meet the increasing pace of our business. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.
You will help our internal clients navigate the complex world of modern data science and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and 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 internal clients to deliver the latest data science and 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
Applying data mining and statistical analysis techniques like hypothesis testing, segmentation and modelling to analyze large amounts of data
Helping our clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices
Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate
Designing, architecting and developing solutions leveraging big data technology (Open Source, Hortonworks, AWS or Microsoft) to ingest, process and analyze large, disparate data sets to exceed business requirements
Unifying, enriching and analyzing customer data to derive new 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 and ability to teach data science, concepts, tools, features, functions and benefits of different approaches to apply them
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 five years of related work experience; or a master's degree and approximately two years of related work experience
At least five years hands-on experience with data science, big data, and data engineering
Extensive experience connecting to various data sources and structures: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, etc.
Deep understanding of statistical modeling as well as ETL, data ingestion/cleansing and engineering skills
Ability to set up data and experimental platforms
R or SAS, Python, Java/C# and Scala
SQL, Hive, Pig are required
Machine learning using k-NN, naive bayes, decision trees, SVM experience required
Experience using data mining and statistical tools
Solid pattern recognition and predictive modelling skills
Recommendation engines, scoring systems, A/B testing
Must have worked with multiple tools/libraries such as Weka, NumPy, PyMongo, R, etc.
Thorough business understanding of data science application and ability to communicate with key decision-makers
Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft)
Communication is essential, must be able to listen and understand the question and develop and deliver clear insights.
Outstanding team player.
Independent and able to manage and prioritize workload.
Ability to quickly and positively adapt to change.
A valid driver’s license in the US; willingness and ability to travel to meet client needs.
Ideally, you’ll also have
Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
Experience with Azure Data Factory and AzureML a plus
Knowledge of Adobe Experience platform is a plus
What we look for
We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
What we offer
As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here’s a snapshot of what we offer:
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
Please apply to this role only through the ‘Apply’ link (not through the local office). Your application will then be routed to the appropriate recruiting team.
The exceptional EY experience. It’s yours to build.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and either need assistance applying online or need to request an accommodation during the interview process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at email@example.com .