About the Position

Lead Data Engineer

We are seeking a Lead Data Engineer to design, develop, and implement enterprise data integration solutions in a hybrid work model in Sao Paulo, Brazil.

Responsibilities

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.

Requirements

To be considered for this role, you need:

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.

Nice to Have

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.

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.

We Offer

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.

About the Company

コグニザント（NASDAQ: CTSH）は、AI 詳細については、cognizant.aiをご覧ください。

Application Process

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.

Step 1: Apply for the optimal position

Step 2: Connect with the Recruiter

Step 3: Showcase your skills

If both parties decide to continue the recruitment process, you will proceed to an interview with our recruitment team. Depending on the position, this may include a technical assessment or client interview.

Step 4: Final Decision

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Lead Data Engineer

Job description