5 days ago
Remote, BrazilMid Level / Senior
Responsibilities
- Develop, maintain, and support scalable data pipelines and data integration solutions.
- Build and support enterprise data products for reporting, analytics, and operational use cases.
- Develop and maintain data models, data warehouses, and dimensional modeling solutions.
- Integrate data from internal systems, cloud platforms, APIs, and third-party vendors.
- Translate stakeholder business requirements into technical data solutions.
- Support data quality, governance, reliability, and consistency initiatives.
- Optimize SQL queries and troubleshoot data processing issues.
- Work within AWS-based data platforms and modern data engineering frameworks.
- Participate in Agile ceremonies, project planning, and sprint activities.
- Follow engineering best practices, coding standards, and governance processes.
- Contribute to improvements in data architecture and platform capabilities.
Requirements
- 4–6 years of total professional experience.
- 2–4 years of experience in Data Engineering, Data Integration, Analytics Engineering, or related disciplines.
- Fluent written and verbal English.
- A bachelor's degree in a technical, engineering, quantitative, or related discipline is preferred.
- Experience working with cloud-based data environments.
- Proficiency with Python, AWS Glue, PySpark, SQL development and query performance tuning, data warehousing, dimensional modeling, data modeling, and enterprise data integration.
- Experience with REST API integration and data pipeline development.
- Strong communication, collaboration, and stakeholder management skills.
- Ability to translate business requirements into technical solutions and understand data governance, data quality, and reporting concepts.
- Preferred qualifications include AWS ecosystem experience, Dremio, data catalog technologies, analytical and operational data product support, regulated-industry experience, vendor and cross-functional collaboration, and cloud or data engineering certifications.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive benefits package including grocery vouchers, saving funds, and SGMM.
- Private health insurance.
- Pension plan.
- Paid time off.
- Career development, training, and development opportunities.
- Dynamic and inclusive work culture within a globally renowned group; benefits differ based on employee level.
Tech Stack
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.