at Prudential Financial, Inc. in Chicago, Illinois, United States
Job Description
Job Classification:
Technology - Engineering & Cloud
A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE
As the Global Asset Management business of Prudential, were always looking for ways to improve financial services. Were 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, youll unlock a motivating and impactful career all while growing your skills and advancing your profession at one of the worlds leading global asset managers!
If youre not afraid to think differently and challenge the status quo, come and be a part of a dedicated team thats investing in your future by shaping tomorrow today. At PGIM, You Can!
What you will do
As part of the PPC Information Technology & Services team, we support PGIM Private Capital with both vendor and internally designed applications, processes and reporting. We are looking for an astute, determined professional like you to fulfill a Data Engineer role on this team. You will showcase your success through collaboration, ownership and innovation. Your knowledge in emerging trends and practices will evoke stimulating discussions around optimization and change to help keep our competitive edge. As a Data Engineer at PGIM Private Capital you will be responsible for developing, maintaining, and optimizing our data pipelines, architectures, and data sets. You will work closely with our team of analysts and data scientists to ensure that our data solutions are robust, scalable, and aligned with business objectives.
This rewarding opportunity will enable you to have an impact in our organization, so if this sounds exciting, then PGIM Private Capital might be the place.
What you can expect:
- Design and implement highly scalable data ingestion and processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
- Develop and maintain data models and architecture for data warehouse and data lakes in Azure.
- Optimize data retrieval and develop dashboards and reports using Azure Synapse Analytics and Power BI.
- Ensure data integrity and compliance with data governance and security policies using Azure Purview and other security tools.
- Collaborate with stakeholders to gather requirements and provide data-driven insights and solutions.
- Monitor performance and advise on necessary infrastructure changes.
What you will bring:
- Bachelors in Computer Science, Engineering, or a related field.
- 3+ years of experience as a Data Engineer or similar role.
- Strong proficiency with Azure cloud services including Azure Data Factory, Azure Data Lake, Azure SQL Database, and Azure Databricks preferred.
- Experience with SQL and common data science toolkits.
- Proficiency in programming languages such as Python or Scala.
- Strong problem-solving skills and ability to work in a dynamic and agile environment.
- Excellent communication and teamwork skills
- Knowledge of development methodologies (Agile, Scrum, etc.) is a plus
What will set you apart:
- Azure
- Apache Spark
- Data Lakehouse
- Investment Management Industry experience insurance background okay
*PGIM welcomes...
Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
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