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Fortitude Re
Fortitude Re
201 – 500 Angajați
Asigurare de sănătateAsigurăriFinanțe
Fortitude Re este o companie globală de reasigurare care ajută asigurătorii să gestioneze nevoi complexe de transfer al riscurilor în portofolii de asigurări de viață și anuități, precum și de bunuri și răspundere civilă. Compania dezvoltă soluții personalizate pentru obligațiile de asigurare, bazându-se pe o experiență de peste două decenii în domeniu. Fortitude Reinsurance Company Ltd. și filialele sale operează la nivel global, având o prezență importantă în Hamilton, Bermuda. Profilul companiei acoperă sectoarele asigurărilor și finanțelor, iar pagina sa de cariere oferă informații celor care explorează oportunități la Fortitude Re.
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Locurile de muncă ale companiei

Senior Associate, Data Solutions Engineering

Build and improve data pipelines, architectures, and automated solutions at Fortitude Re, a global reinsurance provider. The role focuses on data flow, governance, and reliable delivery for downstream teams.

USStatele Unite ale Americii
125.000 $ – 140.000 $ / an
RemoteNormă întreagăSeniorLimbă Obligatorie: englezăInginer de analiză a datelor
CloudETLPythonSQL

Descriere

  • Build and maintain reliable data pipelines.
  • Transform data for downstream use.
  • Provide operational support and maintain runbooks and documentation.
  • Design and deliver strategic solutions using modern data engineering practices.
  • Independently build and optimize data ingestion and transformation jobs.
  • Deliver incremental datasets for downstream consumers.
  • Promote automation and use DevOps practices in an agile development environment.
  • Assess existing pipelines and improve their performance.
  • Recommend future architectures to improve scalability, performance, and maintainability.
  • Work with data platform engineering, governance, science, analytics, and visualization teams.
  • Support and mentor early-career professionals.
  • Report to the VP or AVP of Data Solutions Engineering.

Cerințe

  • Hold a bachelor's degree in mathematics, computer science, engineering, or a related field.
  • Understand ETL/ELT, cloud technologies, and data operations.
  • Have at least four years of programming experience with Python, Julia, and/or R.
  • Be proficient in SQL.
  • Have strong knowledge of data lakes, data governance, and modern data quality practices.
  • Experience with Databricks, Dagster, and/or dbt is preferred.
  • Be detail-oriented when debugging and troubleshooting.
  • Bring strong analytical, problem-solving, and conceptual skills.
  • Communicate effectively verbally and in writing.
  • Insurance or reinsurance domain knowledge in actuarial, investment, or finance is a plus.

Beneficii

  • Annual bonus based on company and individual performance.
  • Generous benefits package.

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