Marsh McLennan
Marsh McLennan
Marsh McLennan — тәуекелдер, стратегия және адамдарға қатысты кеңес беру қызметтері бағыттарында жұмыс істейтін жаһандық кәсіби қызметтер компаниясы. Оның құрамына сақтандыру брокерлігі мен тәуекелдерді басқару қызметтерін ұсынатын Marsh; қайта сақтандыру мен капитал стратегияларына бағытталған Guy Carpenter; денсаулық сақтау, әл-ауқат және мансап бойынша кеңес беретін Mercer; стратегия, экономика және бренд жөніндегі кеңес беруге маманданған Oliver Wyman кіреді. Әлем бойынша 85 000-нан астам қызметкері бар Marsh McLennan қаржы, консалтинг, маркетинг және басқа да кәсіби қызмет салаларындағы сараптаманы біріктіреді. Компанияның жұмысқа қабылдау бағыттары оның төрт бизнесі бойынша клиенттерге кеңес беру, тәуекелдерді талдау, бизнес стратегиясы, консалтинг және операциялық топтарды қолдайтын рөлдерді қамтиды.

Data Engineering Analyst (Hybrid) - Louisville, Kentucky

Build Databricks data platforms and ETL pipelines supporting Marsh’s global risk and consulting business. This hybrid Louisville role emphasizes data quality, testing, and dependable workflow operations.

Сипаттама

  • Partner with stakeholders to define data needs and convert them into actionable technical specifications
  • Build and deploy data pipelines and ETL workflows
  • Conduct comprehensive unit tests to verify functionality and performance
  • Establish data quality controls and validation procedures
  • Work with cross-functional teams to align project objectives, schedules, and deliverables
  • Track data pipelines and workflows to maintain performance, reliability, and efficiency
  • Apply improvements where needed
  • Document data processes, platform architecture, and operational workflows
  • Plan and deliver the setup and administration of a Databricks data platform across multiple regions

Талаптар

  • Bachelor’s degree in computer science, data science, information technology, or a related discipline
  • Proficiency with Python and SQL
  • Experience in data modeling and database design
  • At least five years of professional Data Engineering experience
  • Strong knowledge of ETL and ELT principles
  • Experience integrating APIs and ingesting data from varied sources
  • Experience with functional and automated data testing
  • Knowledge of effective documentation practices and automation principles
  • Familiarity with Apache Spark
  • Experience working with AWS or Azure
  • Experience integrating AI in test environments
  • Ability to oversee QA Engineers and facilitate SCRUM calls
  • Familiarity with Databricks and Snowflake

Артықшылықтар

  • Opportunities for professional growth
  • Engaging projects
  • Supportive leadership
  • Inclusive and energetic workplace culture
  • Flexible working environment
  • Benefits and rewards designed to support well-being
  • Option to work remotely
  • Office-based collaboration, networking, and professional development opportunities
  • Support for workplace accommodations when needed

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