Capgemini
Capgemini
„Capgemini“ yra konsultacijų ir technologijų paslaugų įmonė, padedanti organizacijoms pertvarkyti ir valdyti savo veiklą. Įmonė dirba įvairiuose sektoriuose, įskaitant aviaciją ir kosmoso pramonę, automobilių pramonę, bankininkystę, sveikatos priežiūrą ir logistiką. Jos paslaugos apima debesijos sprendimus, kibernetinį saugumą, duomenis ir dirbtinį intelektą bei įmonių valdymą. Įgyvendindama skaitmeninę transformaciją, „Capgemini“ taip pat daug dėmesio skiria inovacijoms ir tvarumui. Įmonė samdo įvairių profesijų ir skirtingos patirties lygių darbuotojus, siekdama kurti novatorišką ir įvairialypę darbo aplinką.

Data Engineer, Insurance Data Platforms

Build cloud and on-premises data pipelines, models, and APIs for Capgemini’s insurance and business users. Deliver analytics-ready datasets that support reporting and operations.

Aprašymas

  • Collect, curate, and publish data across on-premises and cloud environments for analytical and operational use.
  • Prepare trusted, usable data that provides a consistent source of truth for consumers.
  • Turn business analytics requests into work spanning design, development, testing, deployment, and production support.
  • Advise on moderately complex data projects and lead the design, development, and implementation of data products.
  • Follow code management practices and data governance standards.
  • Create reusable data components, models, and flows for reports, dashboards, feeds, and data science.
  • Provide business users with access to structured and unstructured data.
  • Use data mapping, natural language processing, transformation, AI, statistical computing, and validation techniques.
  • Break business data needs into technical tasks and estimates for agile sprints.
  • Build and maintain scalable batch and streaming pipelines.
  • Develop API integrations to handle growing data volumes and complexity.
  • Prepare and clean data for downstream reporting with visualization or AI/ML tools.
  • Deliver projects and substantial tasks on schedule, and prepare project plans with some supervision.
  • Carry out other assigned duties.

Reikalavimai

  • Bring intermediate knowledge of the insurance domain.
  • Have intermediate knowledge of Property and Casualty insurance.
  • Have 4–6 years of experience with AWS or a similar platform.
  • Have 4–6 years of DBT experience.
  • Have 4–6 years of Snowflake experience.
  • Have 4–6 years of Airflow or a related tool.
  • Have 4–6 years of data analysis and profiling experience.
  • Have 4–6 years of data architecture and modeling experience.
  • Have 4–6 years of SQL and Python experience.

Privalumai

  • Competitive salary and performance-based bonuses.
  • Comprehensive benefits package.
  • Career development and training opportunities.
  • Flexible work arrangements, including remote and/or office-based work.
  • Dynamic, inclusive culture at a globally recognized group.
  • Private health insurance.
  • Pension plan.
  • Paid time off.
  • Training and development.

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