Data Engineer

PGIM Fixed Income Data Engineer
PGIM is the diversified asset management business of Prudential Financial, Inc. (NYSE: PRU). With $1.4 trillion in assets under management, and 38 offices spanning 16 countries, PGIM is among the world's top-10 largest asset managers. Comprised of seven self-governing asset management divisions, each PGIM business offers a distinct workplace culture that aligns with the firm's ultimate objective: to provide premier service to our clients while fostering an inclusive workplace culture that is rooted in trust, respect and equality.
Our Business:
PGIM Fixed Income is a global asset manager offering active solutions across all fixed income markets. As of December 31, 2021, the firm has $957 billion of assets under management including $412 billion in institutional assets, $205 billion in retail assets, and $340 billion in proprietary assets. Over 900 global institutional clients have entrusted PGIM Fixed Income with their assets. Our business climate is a safe inclusive environment, centered around mutual respect, intellectual honesty, transparency, and teamwork. Our leaders are focused on talent & culture; dedicated to fostering growth & development at all levels to develop the industry leaders of tomorrow.
Our Role:
We are looking for an astute, determined professional like you to fulfill a Data Engineering role within our Technology Solutions Group. You will showcase your success in an Agile environment through collaboration, ownership and innovation. Your expertise in emerging trends and practices will evoke stimulating discussions around optimization and change to help keep our competitive edge. This rewarding opportunity will enable you to make a big impact in our organization, so if this sounds exciting, then PGIM might be the place.
Your Impact:

• Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.
• Align with the Product Owner and Scrum Master 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 migration
• Assess the impact of scaling up and scaling out and ensure sustained data management and data delivery performance.
• Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.

Your Required Skills:

• 5+ years of experience in building out data pipelines using Python
• 3 + years of experience working in AWS Cloud especially services like S3, EMR, Lambda, Glue, Athena, Event Bridge and Step Functions.
• 3+ years of experience with Spark
• Experience with workflow management tools like Airflow and messaging technologies like Kafka.
• Cloud database experience using Snowflake and RedShift
• Database and data warehousing design and implementation as well as dimensional modeling experience is required.
• Has good working knowledge of conceptual, logical, and physical data modeling concepts.
• Ability to communicate the status and challenges and align with the team
• Demonstrating the ability to learn new skills and work as a team

Your Desired Skills:

• Experience working in Hadoop or other big data platforms
• Exposure to deploying code through pipeline
• Good exposure to Containers like ECS or Docker
• Direct experience supporting multiple business units for foundational data work and sound understanding of capital markets within Fixed Income
• Knowledge of Jira, Confluence, SAFe development methodology & DevOps
• Excellent analytical and problem-solving skills with the ability to think quickly and offer alternatives both independently and within teams.
• Proven ability to work quickly in a dynamic environment.
• Bachelor's degree Computer Science or a related field.

Our Culture:
Prudential Financial, Inc. is focused on creating a fully inclusive culture, where all employees feel comfortable bringing their authentic selves to work. We don't just accept difference we celebrate it, support it, and thrive on it. At Prudential, employees have a unique opportunity to build their career path by owning their development, their career and their future. We encourage employees to hone their skills and explore continued opportunities within Prudential.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.