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Prudential Financial

Sells life insurance, annuities and investments

Senior Data Engineer - Microsoft Fabric

Data EngineeringConfirmed live in the last 24 hours
Full-timeLetterkenny, Co. Donegal, IrelandNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science or Engineering, or experience in related fields.
  • Experience working with DevOps automation tools and practices, and knowledge of the full software development life cycle.
  • Knowledge of business concepts, tools, and processes needed to make sound decisions in the company's business context.
  • Applied experience with programming languages including Python, SQL, Scala, PySpark/Apache Spark, and Shell scripting.
  • Proven experience building and optimizing data pipelines in Microsoft Fabric.
  • Experience moving data from multiple sources, formats, and volumes to analytics platforms; preparing data for analysis; transforming and mapping raw data; and wrangling data with tools.
  • Experience storing, organizing, managing, and delivering data using relational, NoSQL, and graph databases, and data warehouse technologies.
  • Experience with SQL- and NoSQL-based databases for storage and processing of structured, semi-structured, and unstructured data.
  • Experience with real-time analytics technologies including Spark and Kinesis Data Streams.
  • Experience with data buffering technologies including Kinesis and Kafka.
  • Experience with workflow orchestration tools including Airflow, AppFlow, Autosys, CloudWatch, and Splunk.
  • Experience with data visualization tools including Tableau, Power BI, and Microsoft Excel.
  • Experience building data models, data lakes, and data warehouses.
  • Knowledge of data protection and security principles and services, including data loss prevention, role-based access controls, data encryption, data access capture, and core security services.
  • Experience with infrastructure-as-code frameworks including Ansible and CloudFormation.
  • Knowledge of AWS architectural principles and services, ability to use CloudFormation to write code, and knowledge of AWS core services.
  • Knowledge of unit, interface, and end-user testing concepts and tools, including non-functional requirements such as performance, usability, reliability, security and vulnerability scanning, and testing integration into DevOps; accessibility awareness.

Responsibilities

  • Analyze, design, develop, test, and maintain high-quality data pipelines that drive platform delivery.
  • Implement capabilities to solve sophisticated business problems and deploy products, services, and experiences.
  • Build and optimize data pipelines in Microsoft Fabric, logic, and storage systems using current coding practices, industry standards, modern design patterns, and architectural principles; actively code and execute against the roadmap.
  • Develop high-quality, well-documented, efficient code that adheres to applicable company standards.
  • Conduct complex data analysis, report results, prepare data for prescriptive and predictive modeling, and combine raw information from different sources.
  • Collaborate with data analysts, scientists, and architects on projects to improve data acquisition, transformation, organization, reliability, efficiency, and quality.
  • Write unit and integration tests and functional automation; research problems found by quality assurance or product support and develop solutions.
  • Identify opportunities to provide input to the team, coach others, and incorporate learning and innovation into day-to-day work.
  • Work on complex problems that require in-depth evaluation of multiple factors.
  • Use programming languages including Python, SQL, Scala, PySpark/Apache Spark, and Shell scripting.

Desired Qualifications

  • Experience developing serverless data pipelines using AWS Glue, Lambda, and Step Functions.
  • Other certifications.

About the Company

Prudential Financial

Sells life insurance, annuities and investments

Prudential Financial sells life insurance, annuities and retirement plans to individuals and employers in the United States and Japan, and it invests money for institutional investors through PGIM, its asset management arm. PGIM brings together specialist firms, including stock picker Jennison Associates and separate units for bonds, quantitative strategies, real estate and private credit. Prudential earns insurance premiums, collects investment returns on the premiums it holds until claims and payouts come due, and charges fees on the assets PGIM manages. The company was founded in 1875 to sell burial insurance and is headquartered in Newark, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Newark, NJ
Founded
1875

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