
1001 - 5000 employees
Founded 1996
🤝 B2B
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.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1996
🤝 B2B
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.
• Modern, scalable, and secure data architectures on Google Cloud Platform. • High-performance data pipelines for ingestion, transformation, and data delivery. • Analytical solutions for Data Lake, Data Warehouse, and Data Mart. • Robust and optimized data models for analytical consumption and decision-making. • Environments with governance, data quality, security, and compliance across the entire data lifecycle.
• Proficient in SQL and best practices for Data Warehousing and BigQuery. • Advanced knowledge of conceptual, logical, and physical data modeling. • Strong experience in Data Engineering and analytical projects. • Experience with Python and Apache Spark for data processing. • Hands-on experience with the Google Cloud Platform ecosystem. • Experience with CI/CD, source code versioning, and pipeline automation. • Knowledge of modern data architectures.
• Mental health support • Continuous training • Flexible working hours • Remote work
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