PGIM - Fixed Income - Azure Data Engineer (Hybrid)

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!

What you will do

Our Technology Solutions Group is a dynamic, fast-paced environment, with exciting changes on the horizon under new senior leadership. We are looking for an astute, determined professional like you to fulfil 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.

What you can expect

• Data Management and Storage:

  • Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.

  • Ensure scalability, performance, and cost-effectiveness.

• Data Integration and ETL (Extract, Transform, Load):

  • Develop and implement data integration processes using Azure Data Factory.

  • Extract data from various sources, transform it, and load it into data warehouses or data lakes.

• Big Data and Analytics:

  • Utilize big data technologies such as Apache Spark.

  • Create data processing workflows and pipelines to support data analytics and machine learning applications.

• Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.

• Monitor and optimize data pipelines and database performance to ensure data processing efficiency.

• Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.

• Document data engineering processes, data models, and pipelines to ensure transparency and maintainability.

What you will bring

• Bachelor's degree Computer Science or a related field.

• 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions.

• Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:

  • Software development and scripting languages

  • ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow).

  • Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).

• Knowledge of data modeling and data warehousing concepts.

• Excellent problem-solving and troubleshooting abilities.

• Attention to detail and commitment to data accuracy.

• Experience with cloud-based data migration.

• Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions.

• Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.

• 3+ years of programming experience in Python/Pyspark.  

• Knowledge of Jira, Confluence, SAFe development methodology & DevOps

What will set you apart?

• Understanding of capital markets within Fixed Income

• Microsoft Fabric experience

*PGIM welcomes all appli