Data Engineer

🔥 12 hours ago

🌐 Brazil, Mexico – Remote

🇧🇷 Brazil – Remote 🇲🇽 Mexico – Remote

💵 R$1 / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• 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

• 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

• 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