Senior Data Engineer, SQL, Informatica

🔥 2 minutes ago

🌐 Brazil, Mexico – Remote

🇧🇷 Brazil – Remote 🇲🇽 Mexico – Remote

💵 R$1 / year

⏰ Full Time

🟠 Senior

🚰 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

• 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

• 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

• 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.