Solvo Global
501 - 1000 employees
🤝 B2B
👥 HR Tech
☁️ SaaS
B2B • HR Tech • SaaS
Solvo Global is a leading remote talent solutions provider that matches businesses with experienced nearshore professionals across multiple functions. They handle sourcing, screening, hiring, onboarding and training, offering dedicated remote teams for accounting, back office, collections, customer service, healthcare recruiting, legal, logistics, sales, and staffing. Solvo combines human talent with AI-powered business tools to streamline processes like appointments, card payments, password resets, order look-up, bank reconciliations, and data entry, and emphasizes flexible, cost-effective staffing without long-term contracts.
Data Engineer
Job not on LinkedIn
🕒 March 5
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Solvo Global
501 - 1000 employees
🤝 B2B
👥 HR Tech
☁️ SaaS
B2B • HR Tech • SaaS
Solvo Global is a leading remote talent solutions provider that matches businesses with experienced nearshore professionals across multiple functions. They handle sourcing, screening, hiring, onboarding and training, offering dedicated remote teams for accounting, back office, collections, customer service, healthcare recruiting, legal, logistics, sales, and staffing. Solvo combines human talent with AI-powered business tools to streamline processes like appointments, card payments, password resets, order look-up, bank reconciliations, and data entry, and emphasizes flexible, cost-effective staffing without long-term contracts.
📋 Description
• Build robust, scalable, and efficient data pipelines using Azure Data Factory and cloud-native tools. • Champion the implementation of Medallion Architecture and complex data schemas to support analytical and operational workloads. • Proactively identify and remediate bottlenecks in SQL Server, PostgreSQL, and cloud services. • Drive improvements in data platform monitoring, cost optimization, and failover strategies. • Serve as the Subject Matter Expert for data platforms, ensuring architectural consistency and data security across all services.
🎯 Requirements
• Bachelor’s degree in Computer Science, IT, or equivalent work experience. • 3+ years of hands-on experience in data engineering or data platform development with production-grade solutions. • Demonstrated mastery of Azure Data Factory, SQL Server, and PostgreSQL. • Proficiency in Python and/or Scala with a focus on building maintainable and testable solutions. • Deep understanding of data warehousing principles, dimensional modeling, and scalable ETL/ELT development. • Certifications in Azure or other cloud services; familiarity with Machine Learning methodologies.
🏖️ Benefits
• Health insurance • Professional development opportunities
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