9 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Acquire, curate, transform, validate, and publish data for analytical and operational use across on-premises and cloud environments.
- Design, develop, implement, deploy, and maintain moderately complex data products, data models, data flows, and scalable batch and streaming pipelines.
- Build API integrations and business-user access methods for structured and unstructured data.
- Translate business data requirements and stories into technical designs, work breakdowns, estimates, project plans, and delivery tasks.
- Apply data governance, code management, validation, common data models, natural language processing, statistical computations, and AI/ML tools as appropriate.
- Prepare and cleanse data for downstream reporting, visualization, and data science use cases.
- Execute intermediate-complexity data projects and large tasks with limited coaching and supervision.
- Perform advanced IT QA/testing and QA automation activities for data and technology projects.
Requirements
- Advanced IT QA/testing experience is required.
- Advanced QA automation experience is required.
- Advanced property and casualty insurance domain experience is required.
- Intermediate SQL experience is required.
- Intermediate Guidewire experience is required.
- Intermediate experience with Git and Jira or Azure DevOps is required.
- Intermediate Python experience with 4–6 years of experience is required.
- Intermediate experience with Pytest, Selenium, Playwright, or similar tools with 4–6 years of experience is required.
- Intermediate experience with Blue Prism or similar RPA tools with 4–6 years of experience is required.
- Intermediate Snowflake experience with 4–6 years of experience is required.
- Ability to design and maintain data pipelines, integrate APIs, work with relational and non-relational data, and apply data governance practices.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive benefits package, including private health insurance, pension plan, and paid time off.
- Career development, training, and training and development opportunities.
- Flexible work arrangements, including remote and/or office-based work.
- Dynamic and inclusive work culture within a globally renowned group.
- Benefits differ based on employee level.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.