
1001 - 5000 employees
Founded 1999
đŒ Consulting
đŁ Marketing
đ€ Artificial Intelligence
Consulting âą Marketing âą Artificial Intelligence
SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. With a focus on cloud solutions, Salesforce, mobile development, CRM, user experience, DevOps, machine learning, and digital transformation, SysMap Solutions leverages its extensive experience to craft complex codes and systems that meet client demands. The company prides itself on its ability to deliver tailored solutions, ensuring that the final product is precisely aligned with customer needs. In the Age of Information, SysMap Solutions stands out as a knowledgeable partner in technology.
đ„ 1 hour ago
đŁïžđ§đ·đ”đč Portuguese Required
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1001 - 5000 employees
Founded 1999
đŒ Consulting
đŁ Marketing
đ€ Artificial Intelligence
Consulting âą Marketing âą Artificial Intelligence
SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. With a focus on cloud solutions, Salesforce, mobile development, CRM, user experience, DevOps, machine learning, and digital transformation, SysMap Solutions leverages its extensive experience to craft complex codes and systems that meet client demands. The company prides itself on its ability to deliver tailored solutions, ensuring that the final product is precisely aligned with customer needs. In the Age of Information, SysMap Solutions stands out as a knowledgeable partner in technology.
âą Design data structures for modern environments (Data Lake, Lakehouse, Data Warehouse); âą Support the definition of data architecture and engineering best practices; âą Work closely with business areas to understand requirements and design data solutions; âą Define and promote standards for data governance, quality, and data organization; âą Serve as a technical reference, supporting engineering and analytics teams; âą Contribute to the evolution of data pipelines and structures, ensuring adherence to defined models.
âą Experience with modern data architectures (Data Lake, Lakehouse, modern Data Warehouse); âą Experience with Snowflake is a plus; âą Advanced SQL knowledge; âą Experience with large-scale data integration and organization; âą Experience in high-volume, complex data environments; âą Experience with data orchestration and transformation tools; âą Previous involvement in architecture modernization projects.
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