Semantix
Artificial Intelligence • SaaS • B2B
Semantix is a Latin American deep‑tech company that combines data intelligence, artificial intelligence and advanced engineering to deliver scalable analytics, AI solutions and managed data services. It provides consulting and professional services (data science, advanced analytics, data engineering), a low‑code integration platform (LinkAPI) and industry products for health and pharma (Zetta, ATsaúde), serving enterprises with SaaS products and 24/7 operational support.
501 - 1000 employees
Founded 2010
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
Data Engineer, Mid-level
Job not on LinkedIn
November 26
🗣️🇧🇷🇵🇹 Portuguese Required
Semantix
Artificial Intelligence • SaaS • B2B
Semantix is a Latin American deep‑tech company that combines data intelligence, artificial intelligence and advanced engineering to deliver scalable analytics, AI solutions and managed data services. It provides consulting and professional services (data science, advanced analytics, data engineering), a low‑code integration platform (LinkAPI) and industry products for health and pharma (Zetta, ATsaúde), serving enterprises with SaaS products and 24/7 operational support.
501 - 1000 employees
Founded 2010
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
📋 Description
• Implement appropriate data engineering solutions according to project needs. • Use programming and code maintenance to prepare data. • Define and build relational databases with distributed architecture for Big Data processing. • Extract, transform and load (ETL) data from one database to another. • Perform analysis of user requirements. • Conduct research, design, and development of new software programs. • Provide data that generates value for business areas. • Identify ways to improve data reliability, efficiency and quality. • Share analytical knowledge across the team and the organization.
🎯 Requirements
• ETL workflows and data modeling; • Databricks within the Azure ecosystem; • Implementation of solutions in a Hadoop environment; • Python / PySpark and SQL; • Building pipelines using API calls; • Experience working with the business area. • Required: Databricks on Azure; • Python; • PySpark; • Git. • MongoDB.
🏖️ Benefits
• Competitive market salary; • Caju (flexible spending card) with a monthly recharge of R$ 1,060; • Bradesco Health Plan; • Bradesco Dental Plan; • Preventive medicine with Dr. Alper; • Life insurance; • WellHub; • SESC; • Childcare assistance for parents; • Learning – area focused on the development of hard and soft skills; • Partnerships with educational institutions for technical training, MBA, postgraduate programs, certifications, English and Spanish courses; • Career plan; • Discounts on products from a partner portal.
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