Data Engineer - PGIM Global Services (Tampa, FL - Hybrid)

About the Role

Key Responsibilities

• Build and optimize data pipelines, logic, and storage systems using industry standards, modern design patterns, and architectural principles.
• Develop high-quality, well-documented, and efficient code adhering to Prudential standards.
• Conduct complex data analysis, report results, and prepare data for prescriptive and predictive modeling.
• Collaborate with data analysts, scientists, and architects to enhance data acquisition, transformation, organization, reliability, efficiency, and quality.
• Write unit, integration, and functional automation tests, and develop solutions for problems identified by quality assurance or support teams.
• Provide input, coaching, and embed learning and innovation within the team.
• Work on complex problems requiring evaluation of intangible variables.
• Utilize programming languages including Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related fields, or equivalent experience.
• Experience with DevOps automation tools and practices, and knowledge of the full SDLC.
• Ability to perform with minimal guidance and leverage diverse ideas and perspectives.
• Knowledge of business concepts, tools, and processes for sound decision-making.
• Strong problem-solving, communication, and collaboration skills.
• Advanced experience with programming languages such as Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
• Experience with data ingestion, transformation, and integration tools, including Microsoft Fabric.
• Knowledge of database management systems (relational, NoSQL, Graph, data warehouse) and tools like Azure SQL Database and Azure Synapse Analytics.
• Experience with real-time analytics (Azure Stream Analytics, Event Hubs), data buffering, workflow orchestration (Azure Data Factory, Logic Apps), and data visualization (Power BI, Excel).
• Building data lakes and warehousing using Azure Data Lake Storage and Azure Synapse Analytics.
• Understanding of data security, data protection principles, and security services.
• Experience with Infrastructure as Code frameworks such as ARM templates and Terraform.
• Knowledge of Azure cloud services and architecture principles.
• Understanding of testing concepts including unit, interface, and end-user testing, and DevOps integration.

Nice to Have

• Serverless data pipeline development using Azure Functions and Azure Logic Apps.
• Relevant certifications in Azure technologies.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.

Benefits & Perks

• Market competitive base salaries with yearly bonus potential.
• Medical, dental, vision, life insurance, disability insurance, PTO, and leave options.
• 401(k) plan with company match (up to 4%).
• Company-funded pension plan.
• Wellness programs including up to $1,600 annually for personal wellbeing items.
• Work/Life Resources for parenting, housing, legal matters, and more.
• Education benefits for college enrollment and certificate programs.
• Employee Stock Purchase Plan at 85% of the lower of two prices after one year of service.