
1001 - 5000 employees
Founded 1995
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
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.
🔥 9 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1995
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
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.
• Lead the definition and implementation of data architecture • Ensure data quality, security, and governance • Optimize the performance and scalability of solutions • Build and maintain scalable, efficient data infrastructures • Integrate diverse data sources • Automate information ingestion and transformation workflows • Develop scalable data pipelines using AWS (S3, EMR, Redshift) • Work with large-scale data processing using dbt, DuckDB, and Spark • Participate in building dynamic DAGs with Airflow and YAML • Discuss requirements with stakeholders and propose technical solutions • Monitor and ensure the quality of pipelines and processed data
• Strong experience with AWS (S3, EMR, Redshift) • Advanced proficiency in object-oriented Python and SQL • Knowledge of dbt, DuckDB, and Airflow • Experience with data architecture and pipeline interdependencies • Experience with pipeline observability and monitoring is desirable • Proactive approach and ability to communicate with requesting teams • Collaborative mindset and technical leadership capabilities • Ability to understand cause-and-effect relationships in data flows • Previous experience as a software engineer is a plus • Experience working with high-volume environments and specific business rules is a plus • Knowledge of data quality tools such as Soda or Great Expectations is a plus
• Contractor arrangement • Remote work (as stated in the job header)
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