Data Engineer

🔥 7 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.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

• Develop, maintain, and support scalable data pipelines and data integration solutions • Assist in building and supporting enterprise data products for reporting, analytics, and operational use cases • Develop and maintain data models, data warehouses, and dimensional modeling solutions with guidance from senior team members • Integrate data from internal systems, cloud platforms, APIs, and third-party vendors • Partner with stakeholders to understand business requirements and translate them into technical solutions • Support data quality, governance, reliability, and consistency initiatives • Optimize SQL queries and troubleshoot data processing issues • Work within AWS-based data platforms and modern data engineering frameworks • Participate in Agile ceremonies, project planning, and sprint activities • Follow engineering best practices, coding standards, and governance processes • Contribute to continuous improvement efforts across data architecture and platform capabilities

🎯 Requirements

• 4-6 years of total professional experience • 2-4 years of experience in Data Engineering, Data Integration, Analytics Engineering, or related disciplines • Fluent English (written and verbal) • Bachelor's degree in a technical, engineering, quantitative, or related discipline preferred • Experience working with cloud-based data environments • Strong communication and collaboration skills • Python • AWS Glue • PySpark • SQL Development & Query Performance Tuning • Data Warehousing • Dimensional Modeling • REST API Integration • Data Modeling & Data Analysis • Enterprise Data Integration • Data Pipeline Development • Cloud Data Platforms

🏖️ 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

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