A global staffing leader committed to empowering people
Wilmington, Delaware
Rivago Infotech is a global professional services and staffing organization, delivering exceptional talent and technical solutions across IT, Non-IT, Healthcare, and Engineering sectors. Through our professional services division, Evergreen, we provide seasoned technical advisors and culture consultants who partner with clients to solve their most critical business challenges. Our high-touch, client-focused approach ensures unmatched quality, responsiveness, and flexibility. Clients value us for our streamlined execution, efficient service, and exceptional talent management that goes beyond traditional staffing. At our core, we are committed to empowering people to reach their fullest potential. We invest in their personal, professional, and financial growth, enabling them to make a meaningful impact on the world around them. To learn more, visit www.rivagoinfotech.com.
Remote · Toronto, Ontario, Canada
Operate and maintain production Cassandra environments, including capacity planning, backups, recovery, replication, upgrades, repairs, compaction, and performance tuning. Design and review data models and query patterns, and respond to production incidents through investigation and root-cause analysis.
Hybrid · Toronto
Build, optimize, and monitor data pipelines and Databricks Spark workloads that ingest, transform, and process large volumes of structured and unstructured data while maintaining quality, security, and governance. Design enterprise data warehouse solutions, perform data modeling and SQL development, troubleshoot performance issues, and review code for quality and standards.
Remote · Canada
Bridge business stakeholders and technology teams to gather requirements, design solutions, and deliver LoanIQ system enhancements. Analyze and reconcile banking data, validate results with SQL, and investigate root causes within commercial and syndicated lending operations.
Hybrid · Toronto
Design and maintain enterprise data warehouse solutions, financial data models, and scalable ETL/ELT pipelines for finance and lending domains. Collaborate with stakeholders to define data requirements, ensure data quality and governance, troubleshoot data issues, and support cloud platform modernization.
Hybrid · Toronto
Design, build, and optimize scalable data pipelines and cloud data platforms, including developing and tuning Databricks Spark programs for large datasets. Monitor and troubleshoot data jobs, maintain data quality and security, and ensure solutions meet governance, performance, and coding standards.
Remote · Canada
Design, implement, and govern secure, scalable enterprise integrations and APIs across cloud and on-premises environments, including Salesforce integrations with ERP, databases, and third-party systems. Establish architecture, API governance, security, and CI/CD standards while resolving complex issues, mentoring teams, and providing technical leadership.
Hybrid · Toronto
Design, build, and maintain native iOS applications for phones and tablets, integrating them with back-end services. Collaborate with engineers to deliver features, improve application performance and quality, fix bugs, and maintain code quality and automation.
Hybrid · Toronto
Develop Java backend solutions and React-based applications, integrating services through REST/SOAP APIs and microservices. Contribute to workflow and process design and help scale engineering teams.
Hybrid · Toronto
Build, maintain, and optimize scalable data pipelines using Databricks, Spark/PySpark, and SQL, integrating data from Azure storage and other systems for analytics and BI. Improve workload performance and reliability, implement governance and security controls with Unity Catalog, and deploy Databricks artifacts across environments using Databricks Asset Bundles.
Hybrid · Toronto
Build, optimize, and monitor data pipelines and Databricks Spark workloads for large-scale data ingestion, transformation, and analysis while maintaining data quality, security, and governance. Design enterprise data warehouse solutions, perform data modeling and SQL development, troubleshoot performance issues, and review code for quality and standards compliance.
