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.
Senior Data Engineer – Azure
October 28
🗣️🇧🇷🇵🇹 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.
📋 Description
• Design, develop, and deploy scalable and efficient data pipelines using Azure Databricks, Airflow, and PySpark. • Ensure data quality, efficiency, and reliability. • Perform data analysis and troubleshooting. • Build interactive reports and dashboards in Power BI. • Collaborate on the design and implementation of new features.
🎯 Requirements
• Experience with reverse engineering to understand workflows and processes of legacy systems. • Experience working with agile methodologies (Scrum, Kanban, etc.). • Knowledge of data architecture and best practices for ETL/ELT processes. • Experience using monitoring and logging tools (such as Azure Monitor, Datadog, or the ELK Stack). • Hands-on experience with Azure ecosystem tools, such as Azure Storage, Azure SQL, Azure Data Lake, and Azure Synapse Analytics. • Self-driven profile with a problem-solving mindset.
🏖️ Benefits
• Inclusive and diverse culture • Opportunities for professional development
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