About The Position
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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. Consulting, Technology Consulting - AI & Data - E2E - Enterprise Data - Data Engineering (Cloud Big Data) (Manager) (Multiple Positions) (1695986), Ernst & Young U.S. LLP, Hoboken, NJ. Assist client engagement teams delivering professional services and help manage business development activities by developing and applying analytics to solve business problems. Deliver the latest big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Design, architect, and develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements. Unify, enrich, and analyze customer data to derive insights and opportunities. Leverage in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements. Communicate findings, recommendations, and opportunities to improve data systems and solutions. Apply data driven approach (KPIs) in tying technology solutions to specific business outcomes. Collaborate, influence and building consensus through constructive relationships and effective listening. Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities. Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.
Requirements
- Must have a Bachelor's degree in Business, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Analytics, or a related field, and 5 years of progressive, post-baccalaureate related work experience; Alternatively, will accept a Master’s degree in Business, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Analytics, or a related field, and 4 years of related work experience.
- Must have 4 years of experience with Cloud and Big Data technologies.
- Must have 3 years of experience in implementing, automating and integrating a combination of at least four (4) of the following Big Data infrastructure resources: 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, and/or Data Lake Analytics.
- Must have 4 years of experience with IaC & Configuration Management tools including one or a combination of any of the following: Chef, puppet, CloudFormation, terraform, ansible, boto3 and/or Azure/GCP equivalent.
- Must have 4 years of experience with core Operating systems including one or a combination of any of the following: Linux RHEL, Ubuntu, and/or System administration tasks including shell scripting.
- Must have 4 years of experience with Network Engineering/Admin including one or a combination of any of the following: vpc, subnet, security groups, VPC-Endpoints, and/or nat/route tables.
- Must have 4 years of experience with container technology such as docker or Kubernetes.
- Must have 4 years of experience using security tools/concepts including one or a combination of any of the following: At Rest, in transit Encryption, IAM, key and/or certificate management.
- Must have 4 years of experience with CI/CD pipeline management (such as git/bitbucket), and code deployment tools (such as Jenkins, or sonar cube).
- Must have 2 years of experience supervising a team of data professionals.
- Travel required up to 50% of the time, of which 10% may be international to meet client needs.
- Employer will accept any suitable combination of education, training or experience.
Responsibilities
- Assist client engagement teams delivering professional services and help manage business development activities by developing and applying analytics to solve business problems.
- Deliver the latest big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.
- Design, architect, and develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements.
- Unify, enrich, and analyze customer data to derive insights and opportunities.
- Leverage in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements.
- Communicate findings, recommendations, and opportunities to improve data systems and solutions.
- Apply data driven approach (KPIs) in tying technology solutions to specific business outcomes.
- Collaborate, influence and building consensus through constructive relationships and effective listening.
- Manage and motivate teams with diverse skills and backgrounds.
- Consistently deliver quality client services by monitoring progress.
- Demonstrate in-depth technical capabilities and professional knowledge.
- Maintain long-term client relationships and networks.
- Cultivate business development opportunities.
Benefits
- comprehensive compensation
- medical and dental coverage
- pension and 401(k) plans
- paid time off options
- flexible vacation policy
- 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
- Transformative leadership
- Diverse and inclusive culture
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
