Data Engineering Manager Jobs in New Jersey

INTRODUCTION

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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.

ABOUT THE JOB

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.

MINIMUM 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.

What we offer

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $164,407.00 per year. 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. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. 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.

EY accepts applications for this position on an on-going basis. 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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Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

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This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".