SEIDOR
5001 - 10000 employees
🏢 Enterprise
🤝 B2B
🤖 Artificial Intelligence
Enterprise • B2B • Artificial Intelligence
SEIDOR is a global technology consulting and systems-integration firm that provides cloud, ERP, AI, cybersecurity, application modernization, and customer/employee experience solutions for enterprise clients. The company partners with leading platform vendors (SAP, Microsoft, AWS, Google Cloud, IBM, Adobe, Salesforce, Cisco) and operates across many verticals (banking, healthcare, manufacturing, retail, public sector, transport, agrofood, pharma, etc. ). With over 10,000 professionals, significant cloud and data-center investments, and recognized partner statuses (AWS Premier, SAP specialization), SEIDOR focuses on driving digital transformation and managed services for business customers worldwide.
Data Architect / Data Engineer – Databricks Senior
Job not on LinkedIn
🔥 1 minute ago
🗣️🇧🇷🇵🇹 Portuguese Required
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SEIDOR
5001 - 10000 employees
🏢 Enterprise
🤝 B2B
🤖 Artificial Intelligence
Enterprise • B2B • Artificial Intelligence
SEIDOR is a global technology consulting and systems-integration firm that provides cloud, ERP, AI, cybersecurity, application modernization, and customer/employee experience solutions for enterprise clients. The company partners with leading platform vendors (SAP, Microsoft, AWS, Google Cloud, IBM, Adobe, Salesforce, Cisco) and operates across many verticals (banking, healthcare, manufacturing, retail, public sector, transport, agrofood, pharma, etc. ). With over 10,000 professionals, significant cloud and data-center investments, and recognized partner statuses (AWS Premier, SAP specialization), SEIDOR focuses on driving digital transformation and managed services for business customers worldwide.
📋 Description
• Design and evolve data platforms using Lakehouse architecture • Develop scalable pipelines • Define architecture, governance, and performance standards with Databricks, Delta Lake, and PySpark • Implement solutions on Databricks and Delta Lake • Support technical teams and document solutions
🎯 Requirements
• Experience with Databricks, PySpark, and SQL • Delta Lake and Lakehouse architecture • ETL/ELT and data modeling • Cloud (Azure, AWS, or GCP) • Preferred: Airflow, Fabric, Synapse, or Data Factory • DataOps/CI/CD and Databricks/Cloud certifications
🏖️ Benefits
• Equal opportunities • Support for professional growth
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