29 days ago
Remote, BrazilSenior
Responsibilities
- Design, develop, and maintain scalable data pipelines and data integration solutions.
- Build and support enterprise data products for analytics, reporting, 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.
- Gather stakeholder requirements and translate business needs into technical solutions.
- Ensure data quality, governance, reliability, and consistency across platforms.
- Optimize SQL queries and data processing performance.
- Support cloud-based data platforms and modern data engineering frameworks.
- Partner with external vendors and cross-functional teams on data initiatives.
- Provide technical leadership, mentoring, and guidance on data engineering best practices.
- Support project planning, estimation, and execution in Agile environments.
- Improve data architecture, automation, and data platform capabilities.
Requirements
- 7–9 years of total professional experience.
- 4–6+ years of experience in Data Engineering, Analytics Engineering, Data Integration, or related disciplines.
- Bachelor's degree in a technical, engineering, quantitative, or related discipline is preferred.
- Fluent English written and verbal communication.
- Experience working in cloud-based data environments.
- Strong stakeholder management and communication skills.
- Experience with Python, AWS Glue, PySpark, SQL development, data warehousing, REST API integration, data modeling, data analysis, data pipeline development, and cloud data platforms.
- Preferred qualifications include AWS ecosystem experience, data catalog technologies, life insurance data experience, analytical and operational data product support, external vendor and TPA experience, cloud or data engineering certifications, enterprise data integration, solution design, data architecture, dimensional modeling, and query performance tuning.
- Ability to lead technical discussions, provide subject matter expertise, translate business requirements into scalable solutions, and balance hands-on engineering with stakeholder engagement and project leadership.
- Experience working within regulated industries and life insurance is preferred.
Benefits
- Competitive compensation and benefits package, including performance-based bonuses.
- Comprehensive benefits package including grocery vouchers, saving funds, SGMM, and private health insurance.
- Pension plan and paid time off.
- Career development, training, and training and development opportunities.
- Dynamic and inclusive work culture within a globally renowned group.
- Benefits differ based on employee level.
- Employment requires valid local legal authorization to work in the country where the role is based; FBS does not sponsor or obtain work authorization unless explicitly stated.
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.