Capgemini
Capgemini
Capgemini ir konsultāciju un tehnoloģiju pakalpojumu uzņēmums, kas palīdz organizācijām pārveidot un pārvaldīt savu darbību. Uzņēmums strādā dažādās nozarēs, tostarp aviācijas un kosmosa, autobūves, banku, veselības aprūpes un loģistikas jomā. Tā pakalpojumi ietver mākoņpakalpojumus, kiberdrošību, datus un mākslīgo intelektu, kā arī uzņēmumu pārvaldību. Digitālās pārveides ietvaros Capgemini pievēršas arī inovācijām un ilgtspējai. Uzņēmums pieņem darbā dažādu profesiju pārstāvjus ar atšķirīgu pieredzes līmeni, īpašu uzmanību pievēršot inovatīvas un daudzveidīgas darba vides veidošanai.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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.

Saistītās vakances

Clio - Cloud-Based Legal Technology

Software Development Manager, Application Security

Clio - Cloud-Based Legal Technology
1001 – 5000 Darbinieki
DrošībaJuridiskie pakalpojumiSaaS

Lead Clio’s security engineering team as it builds an AI-driven Security Operations Center for legal technology. The role spans detection engineering, product hardening, automated response, and team leadership.

Atvērt
Alto