Analytics Engineer

🕒 August 4

🌐 Mexico, Brazil – Remote

🇲🇽 Mexico – Remote 🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 12%

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

• Build, maintain, and optimize data pipelines and data workflows • Clean, transform, and validate large datasets from multiple sources • Support modernization of data architecture and platform capabilities • Manage and maintain data assets within cloud-based environments • Ensure data quality, integrity, and accessibility for analytics and reporting • Collaborate with Data Engineers, Analysts, Data Scientists, and business stakeholders • Identify data gaps and implement solutions that improve reliability and efficiency

🎯 Requirements

• 3+ years of experience in Analytics Engineering, Data Engineering, or related roles • Strong Python programming skills • Advanced SQL expertise • Experience building and maintaining data pipelines • Hands-on experience with data transformation, cleansing, and validation • Experience with data warehousing concepts and technologies • AWS experience, particularly with S3 • Experience working with large-scale datasets • Strong problem-solving skills and ability to identify data quality issues • Great level of English • Pipeline management • Valid, local legal authorization to work in the country where the role is based at the time of hire • Preferred: Snowflake • Preferred: Apache Airflow • Preferred: Databricks • Preferred: Exposure to machine learning environments • Preferred: Experience supporting data architecture modernization or migration initiatives • Preferred: Previous Analytics Engineering experience

🏖️ Benefits

• Competitive salary and performance-based bonuses • Comprehensive benefits package • Career development and training opportunities • Flexible work arrangements (remote and/or office-based) • Dynamic and inclusive work culture within a globally renowned group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development