"Innovations Explore Here"
Edison,, NJ
Cyber Space Technologies is a leading IT solutions provider in the United States. We collaborate with industry experts to deliver innovative solutions to complex business challenges. Our services, including Cloud FinOps, Migration, ManageIT, Big Data, Data Science, Business Intelligence, Machine Learning, Artificial Intelligence, and Cyber Security, empower our clients to uncover the value of their data. We believe in supporting businesses of all sizes by providing genuine, helpful enterprise-level solutions. As a trusted partner to Fortune 500 companies, we specialize in optimization, functionality, security, and updated data support to streamline IT for data-driven businesses. Our diverse offerings not only mitigate risk, but also increase flexibility for these companies. Additionally, we are dedicated to protecting our clients' infrastructure, applications, and data from cyber threats, while providing a comprehensive view of cyber risks specific to their unique setting. We offer a complete range of services designed to protect your infrastructure, applications and data from cyber threats and to give you a bird's-eye view of the cyber risk in your specific setting. Our ethos is to provide comprehensive and high-value technology services to businesses of all sizes, enabling them to achieve their strategic goals.
On-site · Toronto
Collaborate with project teams, business stakeholders, technical subject matter experts, and data insights teams to develop datasets and interactive dashboards across product teams. Analyze data and business processes across applications and domains, and promote development best practices.
On-site · Front of Yonge
Collaborate with project teams, business stakeholders, technical subject matter experts, and data insights teams to develop datasets and interactive dashboards across product teams. Analyze business processes and data across applications and domains, reverse-engineer existing reports and data relationships, and promote development best practices.
Hybrid
Collaborate with project teams, business stakeholders, technical subject matter experts, and data insights teams to develop datasets and interactive dashboards across product teams. Analyze data and business processes across applications and domains, reverse-engineer existing reports and table relationships, and promote development best practices.
On-site
Analyze enterprise data flows, integrations, lineage, and exposure risks, and develop current- and target-state architecture designs. Define governance, privacy, and security controls, then collaborate with business, security, governance, platform, and engineering teams to support implementation and modernization.
On-site
Work with project teams, business stakeholders, technical subject matter experts, and data insights teams to create datasets and interactive dashboards across product teams. Analyze data and business processes across applications and domains, and promote development best practices.
On-site
Assess data flows and design remediation solutions for a strategic data controls and governance initiative. Define data controls, support architecture decisions, and work with platform teams to implement improvements in data minimization, encryption, tokenization, access, logging, and customer identifier management.
On-site
Lead the planning, coordination, and delivery of Data Governance initiatives, including stewardship, metadata management, data quality, and accountability programs. Align cross-functional stakeholders, manage risks and dependencies, facilitate governance forums, and report progress, metrics, and outcomes to leadership.
Hybrid · Montréal
Design, develop, integrate, and support scalable full-stack applications using Java, Spring, microservices, modern front-end frameworks, and Snowflake. Build APIs and data transformations, test and optimize applications, support production systems, and collaborate with cross-functional and DevOps teams.
On-site · Montréal
Design, develop, and maintain Java applications, including building and consuming RESTful APIs and writing clean, scalable, efficient code. Troubleshoot application issues, collaborate with cross-functional teams throughout the software development lifecycle, and participate in code reviews and testing.
