
11 - 50 funcionários
Fundada em 2019
🤝 B2B
🏢 Corporativo
💸 Finanças
B2B • Enterprise • Finance
CloudScouts é uma empresa de consultoria em tecnologia especializada em gerenciamento de desempenho empresarial (EPM), planejamento financeiro, consolidação e soluções de dados e análises. A empresa implementa e oferece suporte a plataformas como SAP Analytics Cloud (Planejamento e BI), Kepion Enterprise Planning and Financial Consolidation, SAP S/4HANA Group Reporting e Power BI para simplificar orçamentos, previsões, consolidação financeira em grupo e análises para clientes corporativos. A CloudScouts foca em implementações personalizadas, integrações e suporte contínuo para ajudar as organizações a melhorarem a tomada de decisões financeiras e a precisão dos relatórios.
🕒 Abril 10
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

11 - 50 funcionários
Fundada em 2019
🤝 B2B
🏢 Corporativo
💸 Finanças
B2B • Enterprise • Finance
CloudScouts é uma empresa de consultoria em tecnologia especializada em gerenciamento de desempenho empresarial (EPM), planejamento financeiro, consolidação e soluções de dados e análises. A empresa implementa e oferece suporte a plataformas como SAP Analytics Cloud (Planejamento e BI), Kepion Enterprise Planning and Financial Consolidation, SAP S/4HANA Group Reporting e Power BI para simplificar orçamentos, previsões, consolidação financeira em grupo e análises para clientes corporativos. A CloudScouts foca em implementações personalizadas, integrações e suporte contínuo para ajudar as organizações a melhorarem a tomada de decisões financeiras e a precisão dos relatórios.
• Understand business requirements and translate them into scalable data architecture and data models • Design conceptual, logical, and physical data models for finance systems (GL, AR, AP) • Architect and implement end-to-end data solutions on Microsoft Azure • Build and maintain enterprise data warehouse and data lake architectures • Integrate data from ERP systems (SAP, Oracle, NetSuite) and other upstream sources • Develop and optimize ETL/ELT pipelines using Azure Data Factory and Databricks • Enable batch and real-time data processing using Azure-native services • Ensure data quality, consistency, and reconciliation across financial systems • Support financial reporting including P&L, Balance Sheet, and Cash Flow • Implement data governance, lineage, and cataloging using Azure Purview • Collaborate with finance, business, and engineering teams for solution delivery • Optimize performance, scalability, security, and reliability of data platforms.
• 12+ years of exp only- please don’t submit if you don’t have Finance (GL, AR, AP) experience • Strong ability to understand business data and design effective data models • Expertise in data modeling techniques (ER modeling, dimensional modeling – star/snowflake schema) • Strong hands-on experience with Microsoft Azure data services, including: Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure Databricks, Azure SQL Database / Managed Instance, Azure Event Hub & Stream Analytics (real-time ingestion), Azure Functions & Logic Apps (integration and automation), Azure Purview (data governance and lineage) • Experience with data warehousing platforms (Snowflake, Redshift, Azure Synapse, BigQuery) • Strong proficiency in SQL and data transformation frameworks • Knowledge of ETL tools (Informatica, Talend, DataStage, ADF) • Familiarity with BI tools (Tableau, Power BI, MicroStrategy) • Understanding of data lakehouse architecture and medallion design (Bronze/Silver/Gold) • Strong understanding of accounting principles and financial processes • Experience with ERP systems (SAP FI/CO, Oracle Financials, NetSuite) (Preferred) • Knowledge of compliance standards (SOX, GAAP, IFRS) (Preferred) • Experience in finance transformation and data migration programs (Preferred) • Strong experience in Azure cloud architecture and implementation (Preferred) • Nice to Have: Experience with real-time streaming technologies (Kafka, Spark), Knowledge of Python or scripting languages, Experience working in large enterprise environments.
• This is a remote position. • We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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