
1001 - 5000 employees
Founded 1996
🤝 B2B
💼 Consulting
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
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1001 - 5000 employees
Founded 1996
🤝 B2B
💼 Consulting
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
• Develop and maintain solutions for LATAM operations • Build pipelines and automate processes • Evolve the data platform • Use AWS technologies to ensure reliable and scalable data
• Knowledge of Python (primary technical requirement) • Experience with or knowledge of AWS Glue • Experience with or knowledge of AWS Lambda • Fundamentals of Data Engineering • Good communication skills • Collaborative profile • Interest in learning and growing technically
• Work collaboratively • Share knowledge • Contribute to team results • Opportunity for technical and professional growth
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