13 hours ago
Hyderābād, IndiaEntry Level
Responsibilities
- Acquire, curate, transform, and publish data for analytical and operational use cases across on-premises and cloud environments.
- Design, develop, test, deploy, and maintain data products and simple scalable batch and streaming data pipelines.
- Create data building blocks, data models, data flows, data feeds, dashboards, and reporting solutions with coaching and oversight.
- Build API integrations to support increasing data volume and complexity.
- Provide business user access methods for structured and unstructured data.
- Apply common data models, natural language processing, data transformation, AI, statistical computations, and data validation techniques.
- Translate business data requirements into technical work breakdowns and estimates for scheduled work or agile sprints.
- Apply data governance and code management practices in accordance with architectural guidelines.
Requirements
- Ability to work on basic data projects involving data acquisition, curation, modeling, pipelines, integrations, and publication with coaching and guidance.
- Knowledge of big data, relational and non-relational databases, cloud environments, programming languages, and reporting tools.
- Ability to translate business analytics requests and data stories into technical requirements and implementation tasks.
- Ability to execute defined projects and mid-size projects within timelines with some guidance.
- Ability to prepare and cleanse data for downstream reporting and AI/ML tools.
- Familiarity with data governance concepts and architectural guidelines; practical experience may be limited.
- Experience or knowledge in batch and streaming data pipelines, API integrations, structured and unstructured data, and data validation.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive benefits package, including private health insurance and a pension plan.
- Paid time off.
- Career development, 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 may differ based on employee level.
Categories
Data Engineering
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.