
Enterprise • Artificial Intelligence • Cybersecurity
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.
October 31

Enterprise • Artificial Intelligence • Cybersecurity
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.
• The team member would assist in the full-stack development of our tools. • Ideally, they would be proficient in the primary technologies used by our in-house tools, namely Node.js for the back-end application logic, Angular for the front-end app logic, SQL queries and procedures (both JavaScript and Python based), and Python for things such as creating the scheduling scripts and for other miscellaneous tasks. Proficiency with Excel and familiarity with Snowflake is helpful. • The ability to validate data and calculations is also essential.
• 1-2 years of related work experience required. • Basic experience with SQL or similar, dimensional modeling, pipeline orchestration, building data pipelines to transform data, and BI visualizations. Acts as translation layer for and conduit to technology for all aspects of the work. • Fluent English level (will be tested). • Strong verbal communication and listening skills. • Demonstrated analytical skills. Demonstrated problem solving skills. • Effective interpersonal skills. • Ability to influence internal and/or external constituents. • Seeks to acquire knowledge in area of specialty. • Possesses strong technical aptitude.
• 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
Apply NowOctober 27
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🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
AWS
Pandas
PySpark
Python
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🇧🇷 Brazil – Remote
💰 Venture Round on 2019-06
⏰ Full Time
🟢 Junior
📊 Analytics Engineer
🚫👨🎓 No degree required
BigQuery
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