Keyrus
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.
Senior Data Engineer – AWS
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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Keyrus
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.
📋 Description
• Responsible for designing, developing and evolving data integration and processing solutions. • Ensure quality, scalability and performance in modern analytical environments.
🎯 Requirements
• Experience in Business Intelligence, Data Warehouse and Big Data projects. • Strong knowledge of data modeling. • Experience with relational and non-relational databases. • Experience developing data pipelines, ETL/ELT and data integration. • Knowledge of batch and streaming data processing. • Experience with scalable architectures and messaging solutions. • Hands-on experience with Databricks and AWS services. • Ability to define standards, best practices and architectures for data solutions. • Good communication, organizational skills and autonomy to work on high-complexity projects. • Interest in innovation and continuous learning, staying up to date with Data and Artificial Intelligence market trends.
🏖️ Benefits
• Remote work flexibility • Opportunities for professional growth • Collaborative environment • Culture of diversity and inclusion
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🇺🇸 United States – Remote
💰 Series A on 2019-12
⏰ Full Time
🟠 Senior
🔴 Lead
☁️ Cloud Engineer
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