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Capgemini

Global consulting, technology services, outsourcing

FBS Data Engineer with QA Automation

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, India

About the Job

Requirements

  • Advanced IT quality assurance and testing experience.
  • Advanced Property and Casualty insurance domain experience.
  • Advanced quality assurance automation experience.
  • Intermediate SQL experience.
  • Intermediate Guidewire experience.
  • Intermediate experience with Git, Jira or Azure DevOps, and Agile delivery.
  • Intermediate Python experience, with 4–6 years of experience.
  • Intermediate experience with Pytest, Selenium, Playwright, or similar tools, with 4–6 years of experience.
  • Intermediate experience with Blue Prism or similar robotic process automation tools, with 4–6 years of experience.
  • Intermediate Snowflake experience, with 4–6 years of experience.

Responsibilities

  • Acquire, curate, and publish on-premises and cloud data for analytical or operational uses in basic to moderate scenarios, ensuring it is ready for use and provides a single version of the truth across data consumers.
  • Translate business analytics requests and requirements into design, development, testing, deployment, and production maintenance tasks.
  • Consult on intermediate-complexity data projects to understand design requirements and existing business processes, and lead the design, development, and implementation of data products.
  • Follow code management practices and integrate work with architectural and data governance guidelines.
  • Produce data building blocks, data models, and data flows for dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration.
  • Create business-user access methods to structured and unstructured data.
  • Use techniques including mapping data to a common data model, natural language processing, data transformation to satisfy business rules, artificial intelligence, statistical computation, and data-content validation.
  • Translate business data stories into technical story breakdowns and work estimates for schedules or planned agile sprints.
  • Develop and maintain moderately complex, scalable data pipelines for streaming and batch requirements, and build API integrations to support increased data volume and complexity.
  • Prepare and cleanse data for downstream reporting using standard visualization or AI/ML tools.
  • Apply data governance concepts in project work.
  • Execute mid-size projects and large tasks within timelines.
  • Develop data project plans and execute them with some supervision.
  • Perform other duties as assigned.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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