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.
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
