Data Engineer

Capgemini

. Design, develop, and maintain scalable data pipelines and data integration solutions .

Posted 10/14/2026full-timeRemote • Brazil, MexicoSeniorLead💰 R$1 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering, focusing on building and maintaining scalable data pipelines, data integration solutions, and data models. Proficient in cloud-based data environments and skilled in stakeholder management and communication.

Highest-signal resume keywords

Data Pipeline DevelopmentData WarehousingSQL DevelopmentPythonAWS Glue

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData AnalysisREST API IntegrationData IntegrationData GovernanceData QualityData Processing Performance OptimizationAgile Project PlanningCloud Data PlatformsDimensional Modeling

Soft Skills

Stakeholder ManagementCommunication SkillsTechnical LeadershipMentoringCollaboration

Tools & Technologies

AWS GluePySparkSQLCloud PlatformsData Engineering Frameworks

Industry Keywords

Data EngineeringAnalytics EngineeringData IntegrationData ArchitectureAutomation

Tech Stack

Tools & technologies

AWSCloudPySparkPythonSQL

About the role

Key responsibilities & impact

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
Collaborate with business stakeholders to gather 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 to deliver successful data initiatives
Provide technical leadership, mentoring, and guidance on data engineering best practices
Support project planning, estimation, and execution in Agile environments
Drive continuous improvements in data architecture, automation, and data platform capabilities

Requirements

What you’ll need

7–9 years of total professional experience
4–6+ years of experience in Data Engineering, Analytics Engineering, Data Integration, or related disciplines
Fluent English (written and verbal)
Experience working in cloud-based data environments
Strong stakeholder management and communication skills
Python (4-6 years)
AWS Glue
PySpark
SQL Development
Data Warehousing
REST API Integration
Data Modeling & Data Analysis
Data Pipeline Development
Cloud Data Platforms
Ability to partner effectively with technical and non-technical stakeholders
Experience translating business requirements into scalable technical solutions
Ability to lead technical discussions and provide subject matter expertise
Ability to balance hands-on engineering work with stakeholder engagement and project leadership

Benefits

Comp & perks

Competitive salary and performance-based bonuses
Comprehensive benefits package: Grocery vouchers, saving funds, SGMM, etc.
Career development and training opportunities
Dynamic and inclusive work culture within a globally renowned group
Private Health Insurance
Pension Plan
Paid Time Off
Training & Development
Valid, local legal authorization to work in the country where the role is based
No parallel employment, professional activities, or paid work for other entities during employment