Cloud Big Data Engineer, Senior - Tech Consulting
Ernst & Young Global
 Caney, KS

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. Weâll look to you to provide

our clients with a unique business perspective on how Big Data analytics can

transform and improve their entire organization â 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

Youâll 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
  • At
    least three years hands-on experience with various Cloud and Big Data
    technologies
  • At
    least two years experience in implementing, automating and integrating Big Data
    infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR,
    Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event
    Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake
    Analytics in an ephemeral/transient and in an elastic manner
  • IaC
    & Config Management: Tools like Chef, puppet, CloudFormation ,terraform,
    ansible, boto3 and/or Azure/GCP equivalent
  • Hands
    on experience of core Operating systems
    like Linux RHEL, Ubuntu, System administration tasks including shell
    scripting
  • Network
    Engineering/Admin (vpc, subnet, security groups, VPC-Endpoints, nat/route
    tables, etc)
  • Experience
    with container technology like docker, kubernetes etc.
  • Security
    tools/concepts like At Rest and in transit Encryption, IAM, key and certificate
    management etc.
  • CI/CD
    pipeline management like git/bitbucket, and code deployment tools like Jenkins,
    sonar cube
  • 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 driverâs license in the US; willingness and ability to travel to meet
    client needs.

Ideally, youâll

also have

  • Bachelorâs
    Degree or above in mathematics, information systems, statistics, computer
    science, or related disciplines

What we look for

Weâre 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 youâll 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.