Manager, Data Engineer - PGIM Global Services; Newark, NJ or Tampa, FL - Hybrid

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Join to apply for the Manager, Data Engineer - PGIM Global Services (Newark, NJ or Tampa, FL - Hybrid) role at Prudential Financial

Job Classification

Technology - Engineering & Cloud

A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE

As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making a meaningful impact - touching the lives of millions and solving financial challenges in an ever-changing world.

We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you’ll unlock a motivating and impactful career – all while growing your skills and advancing your profession at one of the world’s leading global asset managers!

If you’re not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that’s investing in your future by shaping tomorrow today.

At PGIM, You Can!

Your Team & Role

As a Lead Data Engineer at PGIM Global Services, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists, and data analysts to improve our core data platforms and supporting applications. You will analyze, design, develop, test, and perform ongoing maintenance to build high-quality data pipelines that drive platform delivery. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services, and experiences to delight our customers!

In addition to advanced technical expertise and experience, you will bring excellent problem-solving, communication, and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude, and a continuous learning focus to all that you do.

This role is based in our office in Newark, NJ or Tampa, FL. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week.

Here is What You Can Expect on a Typical Day

• Build and optimize data pipelines, logic, and storage systems with the latest coding practices and industry standards, modern design patterns, and architectural principles; remove technical impediments.
• Develop high-quality, well-documented, and efficient code adhering to all applicable Prudential standards.
• Conduct complex data analysis and report on results, prepare data for prescriptive and predictive modeling, and combine raw information from different sources.
• Collaborate with data analysts, scientists, and architects on data projects to enhance data acquisition, transformation, organization processes, data reliability, efficiency, and quality.
• Write unit, integration tests, and functional automation, researching problems discovered by quality assurance or product support, and developing solutions to address the problems.
• Bring a strong understanding of relevant and emerging technologies, provide input and coach team members, and embed learning and innovation in the day-to-day.
• Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables.
• Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.

• Bachelor of Computer Science or Engineering or experience in related fields.
• Experience in working with Dev Ops automation tools & practices;
  Knowledge of the full software development life cycle (SDLC).
• Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts, and perspectives to the benefit of the…