Capgemini
Capgemini
Capgemini is a consulting and technology services company that helps organizations transform and manage their operations. Its work spans industries including aerospace, automotive, banking, healthcare, and logistics, with services covering cloud, cybersecurity, data and artificial intelligence, and enterprise management. Capgemini also focuses on innovation and sustainability as part of its approach to digital transformation. The company hires across a broad range of professions and experience levels, with an emphasis on building an innovative and diverse workforce.

Senior Data Engineer (SQL and Informatica) - Brazil Remote

Build scalable cloud and on-premises data pipelines supporting global insurance operations. Develop data products, APIs, models, and integrations for analytics and AI/ML.

Description

  • Source, curate, and publish data for analytical and operational use across on-premises and cloud environments.
  • Design, develop, test, deploy, and maintain data products.
  • Advise on data initiatives and lead the design, development, and implementation of data products.
  • Manage code and integrations in line with architecture and data governance standards.
  • Create advanced data components, models, and flows for reports, dashboards, feeds, and data science.
  • Develop access methods that enable business users to work with structured and unstructured data.
  • Use common data models, natural language processing, transformations, AI, statistical analysis, and data validation techniques.
  • Convert business data requirements into technical work plans and estimates for project schedules or agile sprints.
  • Build and support scalable streaming and batch data pipelines.
  • Develop API integrations for growing data volumes and increasingly complex requirements.
  • Prepare and cleanse data for downstream reporting, visualization, and AI/ML applications.
  • Create project plans for data initiatives and deliver them independently.
  • Provide guidance and support to junior associates when needed.
  • Handle additional responsibilities as assigned.

Requirements

  • Experience sourcing, curating, and publishing data across on-premises and cloud environments.
  • Experience with big data, relational and non-relational databases, cloud platforms, programming languages, and reporting tools.
  • Ability to turn business analytics requests into design, development, testing, deployment, and production support activities.
  • Understanding of data governance principles.
  • Experience building scalable streaming and batch data pipelines.
  • Experience developing API integrations.
  • Experience preparing and cleansing data for downstream reporting and AI/ML applications.
  • Ability to create data models, flows, feeds, dashboards, and resources for data science research and exploration.
  • Ability to independently manage complex data projects and mentor junior associates.
  • Ability to work with both structured and unstructured data.

Benefits

  • Competitive salary with performance-based bonuses.
  • Comprehensive benefits package.
  • Flexible remote and office-based work arrangements.
  • Inclusive, collaborative culture within a globally recognized group.
  • Private health insurance.
  • Paid time off.
  • Training and development opportunities delivered with renowned partner companies.

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