EY Cloud Big Data Engineer - Senior - Tech Consulting - Location Open in New York, New York
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.
CLOUD BIG DATA 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.
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
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 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 we offer
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, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• 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.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
EY | Building a better working world
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