Cadmus Soluções em TI
1001 - 5000 employees
Founded 1995
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Cadmus Soluções em TI is a Brazilian IT services and solutions company that accelerates business transformation by combining human expertise and artificial intelligence. It offers Multi-AI integrations, intelligent squads (multidisciplinary teams), automation of manual processes, digital solutions including custom software development and modernization, and talent-sourcing/capacity services to staff and upskill IT teams. The company operates a Center for Artificial Intelligence and delivers tailored enterprise software, chatbots, assistants and delivery accelerators for clients across large organizations.
Data Engineer – Mid-level
Job not on LinkedIn
🕒 May 22
🗣️🇧🇷🇵🇹 Portuguese Required
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Cadmus Soluções em TI
1001 - 5000 employees
Founded 1995
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Cadmus Soluções em TI is a Brazilian IT services and solutions company that accelerates business transformation by combining human expertise and artificial intelligence. It offers Multi-AI integrations, intelligent squads (multidisciplinary teams), automation of manual processes, digital solutions including custom software development and modernization, and talent-sourcing/capacity services to staff and upskill IT teams. The company operates a Center for Artificial Intelligence and delivers tailored enterprise software, chatbots, assistants and delivery accelerators for clients across large organizations.
📋 Description
• Develop, maintain and optimize ETL/ELT processes across different platforms (SQL Server, Spark, NoSQL). • Migrate routines and data loads from SQL Server to Spark (PySpark). • Develop scripts and automations in Python. • Model and structure data following governance and performance best practices. • Collaborate with architects, analysts and testers to ensure data quality and integrity. • Support data migration and modernization initiatives in cloud environments (GCP).
🎯 Requirements
• Strong SQL (ANSI), data modeling and relational database skills. • Experience with SQL Server and Spark (PySpark). • Knowledge of Python and NoSQL. • Understanding of ETL/ELT concepts and data engineering best practices. • Experience with GCP. • Good verbal and written communication and analytical problem-solving skills.
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