The Financial Systems Analyst will bridge the gap between IT/Data teams and Finance departments by supporting and configuring financial systems. They are responsible for automating data flows, creating dashboards, and providing training to business stakeholders.
The role involves architecting and maintaining a scalable, metadata-driven test automation framework for complex data pipelines and platforms. You will lead quality initiatives, enforce DataOps practices, and collaborate with cross-functional teams to ensure data reliability and observability.
The UX Researcher will collaborate with product teams to plan and conduct qualitative and quantitative research activities. They are responsible for developing research materials and maintaining a centralized repository of findings.
The designer will collaborate with leadership to create user flows, wireframes, and prototypes while maintaining the design system. They will also work closely with developers to ensure accurate implementation and iterate designs based on user research and stakeholder feedback.
Design, develop, and deploy production-ready Agentic AI and GenAI services while building scalable APIs and microservices. Collaborate with cross-functional teams to translate business requirements into robust AI solutions and maintain high-quality code standards.
The role is responsible for ensuring data accuracy, consistency, completeness, and integrity across complex healthcare and pharmacy data environments. It involves performing data validation, reconciliation, profiling, and root-cause analysis.
Lead the delivery of data and analytics products while managing stakeholders and requirements. Combine product ownership with deep healthcare and pharmacy domain expertise to drive project success.
The role acts as a bridge between healthcare stakeholders and technical teams to translate complex domain requirements into actionable data solutions. You will be responsible for managing requirements and ensuring analytics projects align with pharmacy and healthcare operational needs.
Lead the end-to-end solution design and delivery while collaborating with architects and technical leads. Manage customer interactions, including requirements gathering, product demonstrations, and user training sessions.
Lead requirement gathering and create documentation for integration projects while maintaining Jira epics and stories. Facilitate alignment across verticals and support projects end-to-end through delivery and development phases.
Design and scale data architectures for machine learning lifecycles, including feature stores and model training pipelines. Build and maintain robust ETL/ELT pipelines while implementing automated testing to ensure data integrity.
Lead the architecture and strategy for a scalable, metadata-driven automation framework covering data pipelines, APIs, and end-to-end validation. Oversee data quality, observability, and CI/CD enforcement while mentoring engineers and performing root-cause analysis on production issues.
The role involves eliciting, analyzing, and documenting business and functional requirements to ensure seamless system integration. The analyst will perform gap analysis and manage data via requirements tools while bridging communication between technical and non-technical stakeholders.
Design and build a high-availability Proxmox environment with Ceph/ZFS storage and OVS networking. Lead the end-to-end installation, lifecycle management, and security hardening of OpenShift clusters.
