Big Data Engineer, Manager - Tech Consulting

Company:
Location: United States

*** Mention DataYoshi when applying ***

EY delivers unparalleled service in big data, data science, 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 big data technology (Open Source, AWS, or Microsoft) 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 and data applications based on solutions patterns 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 six years of related work experience; or a master's degree and approximately five years of related work experience
  • At least five years hands-on experience with various Big Data technologies in one or more ecosystems: Open Source, Microsoft, or AWS:
    • Hadoop, Spark, NoSQL, Streaming, Atlas, Sqoop, HIVE
    • AWS, EMR, Hortonworks, Cassandra, Mongo, Redshift, Kafka, Spark, S3
    • Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions, Event Grid, Data Lake Analytics
  • Proficiency coding in Python, Java, C#, C++, or Scala
  • Experience with ETL/Batch and Near Real Time Processing
  • Experience with Streaming Platforms (kafka, spark, streamsets etc) and Complex Event Processing
  • Experienced organizing, aggregating, querying, and analyzing large data sets
  • 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

What we look for

We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the 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 working at EY offers
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 18 days of vacation plus 10 observed holidays, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:
  • Opportunities to develop new skills and progress your career

  • A collaborative environment where everyone works together to create a better working world

  • Excellent training and development prospects, both through established programs and on-the-job training

About EY
As a global leader in assurance, tax, strategy and transactions, and consulting services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
Join us in building a better working world. Apply now.

EY provides 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, in accordance with applicable law.

*** Mention DataYoshi when applying ***

Offers you may like...

  • INFODAS GmbH

    Big Data Analyst / Engineer (m/w/d) am Standort Kö...
    Bonn
  • Toll Collect GmbH

    Big Data Analyst (d/m/w)
    Berlin-Kreuzberg
  • Cognizant

    Junior Big Data Analyst
    Madrid, Madrid provincia
  • Tiger Analytics

    Big Data Engineer (Python)
    Remote
  • HAYS

    BIG DATA ENGINEER
    Lisboa