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, Snowflake
đź•’ April 10
🗣️🇧🇷🇵🇹 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.
đź“‹ Description
• Develop and maintain data pipelines using Snowflake • Implement ETL/ELT processes using tools such as dbt and Airflow • Perform data modeling, ensuring scalability and high performance • Work on query optimization and data processing • Ensure best practices for data governance, quality, and reliability • Collaborate with Analytics and Data Science teams to meet business requirements
🎯 Requirements
• Minimum of 5 years of experience in Data Engineering • At least 2 years of hands-on experience with Snowflake • Advanced proficiency in SQL • Experience with Python • Experience with orchestration tools (e.g., Airflow) • Knowledge of cloud platforms (AWS, Azure, or GCP)
🏖️ Benefits
• Diversity and inclusion • Professional development opportunities
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