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Centraprise

Centraprise

www.centraprise.com

8 Jobs

276 Employees

About the Company

At Centraprise, we foster a collaborative approach in delivering top-quality IT consulting and services to our clients. With a steadfast commitment to growth and innovation, we aspire to inspire the industry of tomorrow by providing cutting-edge solutions that drive productivity and quality.

Listed Jobs

Company background Company brand
Company Name
Centraprise
Job Title
Sr. Data Analyst (Azure, Healthcare Claims, HL7 FHIR, FHIR Implementation)
Job Description
**Job Title:** Senior Data Analyst – Azure Health Data Services **Role Summary:** Senior analyst responsible for mapping healthcare claims and reference data to HL7 FHIR resources, ensuring accurate data transformation for Azure Health Data Services. The role involves collaborating across development and data teams, implementing FHIR standards, optimizing data extraction and API performance, and providing expert guidance on FHIR implementation and Azure integration. **Expectations:** - Deliver precise data mappings that align with HL7 FHIR definitions. - Provide consultative support to development teams on Azure Healthcare Data Services performance and FHIR integration. - Communicate mapping logic clearly and justify decisions to stakeholders. - Maintain high data quality and adherence to healthcare interoperability standards. **Key Responsibilities:** - Create and maintain mapping tables of healthcare claims and EOBs to HL7 FHIR resources within Liquid templates. - Generate reference data mappings (e.g., Gender, ICD‑10‑CM, CPT) to FHIR reference datasets. - Distinguish mappings suitable for FHIR profiles versus those requiring FHIR extensions. - Extract data efficiently from Azure-based APIs and document procedures. - Review and refine mapping logic in collaboration with development teams. - Advise on performance tuning and best practices in Azure Health Data Services. **Required Skills:** - Proven experience with HL7 FHIR and FHIR Implementation Guides. - Deep understanding of healthcare claims, EOBs, and insurance eligibility data. - Proficiency in Azure Health Data Services, Azure API Management, and related analytics tools. - Strong analytical abilities and problem‑solving skills. - Ability to translate complex data patterns into clear, maintainable mappings. - Excellent communication skills for cross‑functional collaboration. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Health Informatics, Information Systems, or a related field (or equivalent experience). - Relevant certifications such as Microsoft Certified: Azure Developer Associate, Microsoft Certified: Data Analyst Associate, or HL7 FHIR certification are preferred.
Toronto, Canada
On site
06-11-2025
Company background Company brand
Company Name
Centraprise
Job Title
Azure Cloud Platform Engineer (AZURE AI, Python, Pyspark, ADF, Databrick)
Job Description
Job Title: Azure Cloud Platform Engineer (Azure AI, Python, PySpark, ADF, Databricks) Role Summary: Design, deploy, and manage Azure cloud solutions integrating AI, data processing, and orchestration services. Deliver scalable pipelines, manage Databricks environments, and implement AI models within Azure AI Studio. Expectations: - Lead end‑to‑end Azure resource provisioning and configuration. - Build and maintain robust data pipelines using Python, PySpark, and Azure Data Factory. - Administer Databricks and Azure Functions to support data science and AI workloads. - Deploy and operationalize OpenAI models in Azure AI Studio. - Ensure CI/CD practices, version control, and infrastructure-as-code are applied. Key Responsibilities: - Create and manage Azure resources (VMs, networks, storage) through Terraform and ARM templates. - Design and implement ADF pipelines, Spark jobs, and Databricks notebooks for ETL and analytics. - Configure and administer Azure Databricks workspaces, cluster policies, and access controls. - Develop and deploy Azure Function Apps and Web Apps for API and UI endpoints. - Integrate OpenAI models in Azure AI Studio, manage model lifecycle, and monitor performance. - Build and maintain CI/CD pipelines using Jenkins, Git, and Azure DevOps. - Optimize data indexing, chunking, and embedding for AI search and RAG patterns. - Collaborate with data scientists to build chatbot solutions leveraging AI Search Index. - Monitor and troubleshoot performance, security, and compliance across all services. Required Skills: - Azure Cloud Platform administration (resource management, networking, virtual machines). - Terraform, ARM templates, and infrastructure-as-code. - Python, PySpark, SQL, Azure Data Factory, Azure Databricks, Azure Functions, Azure Web Apps. - Databricks admin/developer, Power Platform, and Azure AI Studio. - OpenAI model deployment on Azure. - Jenkins CI/CD, Git versioning, Azure DevOps pipelines. - Experience with AI Search Index, document chunking, embedding, RAG patterns (nice to have). - Familiarity with ML Ops frameworks, Azure ML, Microsoft Cloud Processors, AI Search (nice to have). Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology or related field. - Azure certifications (AZ-104, DP-203, AI-100, or equivalent) preferred. ---
Toronto, Canada
On site
13-11-2025
Company background Company brand
Company Name
Centraprise
Job Title
Senior Python Developer
Job Description
Job title: Senior Python Developer Role Summary: Lead design, development, and deployment of robust Python-based microservices and APIs (FastAPI, Django, Flask) for production environments, ensuring scalability, reliability, security, and observability. Expactations: • 10+ years of professional Python engineering experience. • Strong architectural leadership in distributed, event‑driven systems. • Proven ability to mentor teams and drive cross‑functional initiatives. Key Responsibilities: • Architect and implement high‑availability services with async I/O, caching, and fault‑tolerance techniques. • Model database schemas and write efficient SQL; interact with Postgres/MySQL and Redis. • Optimize performance through profiling, back‑pressure, circuit breakers, retries, and idempotency patterns. • Enforce security best practices (authN/Z, secrets management, secure coding, SCA) and data protection. • Conduct code reviews, maintain automated test suites (pytest), static typing (mypy/pyright), linting, and CI/CD pipelines. • Containerize workloads and deploy to Kubernetes or Azure Functions; manage IaC with Terraform. • Implement observability via OpenTelemetry, dashboards, and alerts. Required Skills: • Advanced Python (3.x) programming, including async/await. • Deep expertise in at least one web framework: FastAPI, Django, or Flask. • Experience with microservices, event‑driven architecture, and message queues (Kafka/RabbitMQ). • Strong CS fundamentals (algorithms, data structures, concurrency). • SQL/ORM proficiency (SQLAlchemy, Django ORM); schema design. • Performance tuning, profiling, and reliability engineering. • Security implementation: OAuth2/OIDC, secrets management, threat modeling. • DevOps: containerization (Docker), Kubernetes, Azure, Terraform, CI/CD (GitHub Actions, Azure DevOps). • Testing: unit, integration, contract testing; test coverage and assertions. • Communication: articulate design decisions, lead reviews, and support cross‑team collaboration. Required Education & Certifications: • Bachelor’s degree (or higher) in Computer Science, Software Engineering, or related field. • Relevant certifications (AWS/Azure Cloud, Kubernetes, or security) preferred but not mandatory.
Chicago, United states
On site
Senior
01-12-2025
Company background Company brand
Company Name
Centraprise
Job Title
Financial Data Science / Analyst
Job Description
**Job Title** Financial Data Science / Analyst **Role Summary** Lead the development and execution of advanced analytics solutions to drive financial performance improvements. Manage a small analytics team, ensuring high‑quality, actionable insights for financial reporting, cost control, and revenue optimization. **Expactations** - 9+ years in data science, business analytics, or quantitative roles. - 7+ years of progressive experience with at least 2 years in a managerial or team‑lead capacity. - Master’s degree in Business Analytics, Data Science, or a related quantitative discipline. - Strong accounting or finance expertise; CPA license preferred. - Proven ability to deliver measurable cost savings or revenue recovery (e.g., multi‑million dollar impact). **Key Responsibilities** 1. Design, build, and maintain scalable data pipelines and ETL processes for financial data. 2. Develop predictive models and neural network solutions using Python and R to forecast revenue, cost drivers, and risk factors. 3. Perform statistical analysis, hypothesis testing, and machine‑learning modeling to uncover trends and opportunities. 4. Translate complex analytical results into clear, executive‑ready presentations and dashboards. 5. Oversee data governance, quality checks, and compliance with financial reporting standards. 6. Mentor and lead a small analytics team, fostering professional growth and ensuring project deliverables. 7. Collaborate with Finance, Operations, and IT to integrate analytics outputs into business decision‑making. **Required Skills** - Programming: Advanced Python (AI/Neural Networks, web scraping, ETL) and R (statistical modeling, machine learning). - Databases: Expert SQL (complex queries, data manipulation). - Data Visualization: Tableau, PowerBI. - Statistical & Analytical: Regression, time‑series, clustering, anomaly detection. - Business acumen: Financial reporting, cost management, revenue reconciliation. - Communication: Strong presentation and stakeholder communication skills. - Leadership: Team management, project coordination, mentorship. **Required Education & Certifications** - Master’s degree in Business Analytics, Data Science, Statistics, Finance, or a related quantitative field. - CPA license or equivalent strong accounting background (highly preferred).
Denver, United states
On site
Senior
12-12-2025