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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
