3 months ago
Letterkenny, IrelandSenior
Responsibilities
- Build, optimize, deploy, and maintain data pipelines in Microsoft Fabric.
- Design and implement logic, storage systems, data acquisition, transformation, organization, reliability, and quality improvements.
- Write high-quality, documented, and efficient code using Python, SQL, Scala, PySpark/Apache Spark, and shell scripting.
- Integrate, transform, and prepare data from multiple sources for analytics and predictive or prescriptive modeling.
- Collaborate with data analysts, data scientists, and architects on complex data projects.
- Write unit, integration, functional, interface, and end-user tests and resolve issues identified by quality assurance or product support.
- Work with cloud, infrastructure-as-code, workflow orchestration, data protection, and data visualization technologies.
- Identify opportunities for improvement, contribute to the technical roadmap, and coach other team members.
Requirements
- Bachelor’s degree in computer science or engineering, or experience in a related field.
- Applied experience with Microsoft Fabric and building or optimizing data pipelines.
- Experience with several of Python, SQL, Scala, PySpark/Apache Spark, and shell scripting.
- Knowledge of data ingestion, integration, transformation, databases, data architecture, data lakes, and data warehousing.
- Knowledge of SQL and NoSQL databases, real-time analytics, data buffering, workflow orchestration, cloud computing, and AWS services.
- Experience with DevOps automation tools and practices and knowledge of the full software development life cycle.
- Understanding of data protection and security principles, including data loss prevention, role-based access controls, encryption, and access capture.
- Knowledge of unit, integration, functional, performance, usability, reliability, security/vulnerability, accessibility, and other testing concepts.
- Strong problem-solving, communication, collaboration, business insight, and continuous-learning skills.
- Preferred experience developing serverless data pipelines with AWS Glue, Lambda, and Step Functions.
- Additional certifications may be relevant.
Benefits
- Join a culture where employees’ voices matter and work is intended to improve customer and organizational experiences.
- Access learning experiences designed to develop technical and leadership capabilities.
- Employment is contingent on satisfactory references, and background checks are conducted for candidates offered a position.
- PGIM Ireland is an equal opportunity employer and makes appointments on merit.
Tech Stack
Categories
Data Engineering
About PGIM
PGIM builds and sells investment management products and services to institutional and individual investors worldwide. It is the global asset management business of Prudential Financial (NYSE: PRU), headquartered in Newark, NJ, with roughly $1.4 trillion in assets under management. Its multi-affiliate platform spans fixed income, equities, real estate, private credit, and alternatives delivered via separate accounts, mutual funds, ETFs, and private funds.