Senior Data Engineer, SQL, Informatica

Capgemini

. Acquire, curate, and publish data for analytical and operational uses across on-premises and cloud environments.

Posted 10/9/2026full-timeRemote • Brazil, MexicoSenior💰 R$1 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in acquiring, curating, and publishing data across on-premises and cloud environments, with a strong focus on developing scalable data pipelines and API integrations. Proficient in data governance, data modeling, and utilizing AI/ML tools for reporting and analysis.

Highest-signal resume keywords

Data Acquisition and CurationScalable Data Pipeline DevelopmentAPI IntegrationData Governance KnowledgeAI/ML Tool Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData FlowsData FeedsData TransformationNatural Language ProcessingStatistical ComputationData ValidationBig DataRelational DatabasesNon-Relational Databases

Soft Skills

Independent WorkCoaching Junior AssociatesConsultation on Data Projects

Tools & Technologies

Cloud EnvironmentsVisualization ToolsAI/ML ToolsReporting Tools

Industry Keywords

Data GovernanceData ProductsData PipelinesData ScienceAgile Sprints

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Acquire, curate, and publish data for analytical and operational uses across on-premises and cloud environments.
Design, develop, test, deploy, and maintain data products.
Consult on data projects and lead the design, development, and implementation of data products.
Practice code management and integration according to architectural and data governance guidelines.
Produce advanced data building blocks, data models, and data flows for reporting, dashboards, data feeds, and data science.
Create business-user access methods for structured and unstructured data.
Apply common data models, natural language processing, data transformations, AI, statistical computations, and data validation.
Translate business data stories into technical work breakdowns and estimates for schedules or agile sprints.
Develop and maintain scalable streaming and batch data pipelines.
Build API integrations to support increasing data volume and complexity.
Prepare and cleanse data for downstream reporting through visualization and AI/ML tools.
Develop data project plans and execute them independently.
Coach and assist junior associates as needed.
Perform other duties as assigned.

Requirements

What you’ll need

Experience acquiring, curating, and publishing data on premises and in the cloud.
Experience with big data, relational and non-relational databases, cloud environments, programming languages, and reporting tools.
Ability to translate business analytic requests into design, development, testing, deployment, and production maintenance tasks.
Knowledge of data governance concepts.
Experience developing scalable streaming and batch data pipelines.
Experience building API integrations.
Experience preparing and cleansing data for downstream reporting and AI/ML tools.
Ability to create data models, data flows, data feeds, dashboards, and data science research and exploration resources.
Ability to work independently on complex data projects and provide coaching to junior associates.
Ability to work with structured and unstructured data.

Benefits

Comp & perks

A competitive salary and performance-based bonuses.
Comprehensive benefits package.
Flexible work arrangements (remote and/or office-based).
A dynamic and inclusive work culture within a globally renowned group.
Private Health Insurance.
Paid Time Off.
Training & Development opportunities in partnership with renowned companies.