About the role
As a Lead Data Engineer, you will make an impact by designing, developing, and implementing enterprise data integration solutions that enable seamless data exchange across internal and external platforms. You will work closely with Solution Architects and cross-functional teams to build scalable, high-performing, and flexible ETL frameworks while ensuring data quality, reliability, and compliance within Asset & Wealth Management environments.
In this role, you will
- Design, develop, and maintain enterprise data integration and ETL solutions using Oracle technologies and ODI.
- Analyze, extract, transform, and load data from multiple source systems into target platforms and external entities.
- Collaborate with Solution Architects to define ETL design patterns, data flows, and integration architecture.
- Optimize data pipelines, database performance, and ETL processes to ensure scalability and reliability.
- Provide technical leadership, code reviews, troubleshooting, and support for data integration initiatives.
Work Model
Hybrid - São Paulo (Morumbi)
This role follows a hybrid work model, requiring associates to work from our São Paulo (Morumbi) office on designated days while maintaining the flexibility to work remotely as aligned with business, client, and team collaboration needs.
What you need to have to be considered
- Strong experience in Data Engineering, Data Integration, or related technical roles.
- Hands-on expertise with ETL development and enterprise data integration solutions.
- Strong experience with Oracle Database and PL/SQL.
- Experience working with Oracle Data Integrator (ODI).
- Strong understanding of Data Warehousing concepts, methodologies, and best practices.
- Experience designing scalable, high-performance, and flexible data integration solutions.
- Knowledge of data modeling, data quality, and data governance principles.
- Strong analytical, problem-solving, and communication skills.
- Experience within Asset & Wealth Management environments.
These will help you stand out
- Experience leading technical teams and mentoring engineers.
- Exposure to cloud-based data integration and modern data platforms.
- Knowledge of enterprise architecture and integration frameworks.
- Familiarity with Agile delivery methodologies.
- Experience supporting large-scale financial services transformation programs.
Please upload your resume in English
As this role may be reviewed by global stakeholders, applications submitted in English will ensure a consistent evaluation process across regions and teams.
Our mission
At Cognizant, we help our clients modernize technology, reimagine processes, and transform experiences so they can stay ahead in a fast-changing world. We are committed to fostering an inclusive, collaborative, and innovative environment where individuals can grow their careers while making a meaningful impact for clients, communities, and colleagues.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
