PGIM Portfolio Advisory - Data Engineer (Newark, NJ / Hybrid Or Remote)

Job Classification:

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!

What you will do

As a Data Engineer manager - PGIM Portfolio Advisory, you will be part of PPA Technology team. In this role, you will work with PGIM/ Prudential’s Global Technology team which is the SPARK that ignites the power of PGIM/Prudential for our customers and employees worldwide. Our organization plays a critical and highly visible role in delivering customer-driven solutions across every area of the company. The Global Technology team is made up of diverse, agile-thinking, and highly skilled professionals; we use our combined capabilities to enable the organization with innovation, speed, agility, scalability, and efficiency.

This position is based in Newark, NJ or remote/ virtual. Our organization follows a hybrid work structure where employees can work remotely and/from the office. Working from the Newark office is required 2 to 3 days per week for this position for candidates based in Tri-state area.

What you can expect

• Build new and existing applications in preparation for a launch of new business.

• Align with the business teams and rest of the AMFMCT teams in assessing business needs and transforming them into scalable applications.

• Build and maintain code to manage data received from heterogenous data formats including web-based sources, internal/external databases, flat files, heterogenous data formats (binary, ASCII).

• Help build new enterprise Datawarehouse and maintain the existing one.

• Design and support effective storage and retrieval of very large internal and external data set and be forward think about the convergence strategy with our AWS cloud implementation.

• Assess the impact of scaling up and scaling out and ensure sustained data management and data …