Keyrus
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.
1001 - 5000 employees
Founded 1996
🤝 B2B
Data Engineer – AWS, Databricks
Job not on LinkedIn
October 24
🗣️🇧🇷🇵🇹 Portuguese Required
Keyrus
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.
1001 - 5000 employees
Founded 1996
🤝 B2B
📋 Description
• Develop and optimize integration, ingestion, and transformation processes for structured and unstructured data (batch and streaming) • Ensure the quality, performance, and reliability of data processing executions for data requests • Work with relational and non-relational databases • Design and implement Data Warehouse (DW) and Data Lake architectures • Participate in defining standards, procedures, and data layers in collaboration with solution architects • Support analysts and business teams in specifying and integrating data • Define solutions for integrating complex, high-volume data • Use and maintain up-to-date technical metadata and data repositories • Stay informed about trends and new technologies applicable to the client environment
🎯 Requirements
• Experience with Databricks • Experience with AWS (Amazon Web Services) • Strong knowledge of data modeling • Experience in BI projects and Big Data architectures • Knowledge of messaging systems and distributed processing • Experience with ETL/ELT technologies and tools • Knowledge of relational databases (SQL Server, Oracle, PostgreSQL) and non-relational databases (MongoDB, Cassandra, etc.) • Experience with DW and Data Lake architectures
🏖️ Benefits
• Diversity and inclusion • Opportunities for professional development
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