Design, develop, deploy, and support cloud-native applications within the Microsoft Azure ecosystem.
Compensation
Compensation: $117,000 - $147,000 per year
Responsibilities
Design, develop, deploy, and support cloud-native applications within the Microsoft Azure ecosystem.
Build AI-powered solutions using Azure OpenAI, Azure AI Services, Azure Machine Learning, and approved LLM technologies.
Create secure integrations between Azure applications, Symitar core systems, and enterprise platforms through APIs and modern integration technologies.
Drive intelligent automation initiatives that improve efficiency, user experiences, and operational effectiveness.
Develop and maintain CI/CD pipelines and deployment automation using Azure DevOps.
Requirements
Bachelor's degree in Computer Science, Information Systems, Software Development, or a related field (or equivalent experience).
Nice to have: Experience developing AI-enabled applications and intelligent automation solutions.
Nice to have: Familiarity with Azure OpenAI, Azure AI Services, and machine learning technologies.
Nice to have: Experience with Agile/Scrum environments.
Nice to have: Knowledge of Symitar/Episys or other core banking platforms.
The Power BI Reporting Engineer is responsible for designing, developing, maintaining, and optimizing enterprise business intelligence and reporting solutions using Microsoft Power BI. This role transforms business requirements into interactive dashboards, reports, and analytical solutions.
Compensation
Salary : $105,000~$125,000/y, DOE
Responsibilities
Design, develop, and maintain Power BI reports and dashboards.
Create interactive visualizations, scorecards, and executive dashboards.
Develop reusable report templates and visualization standards.
Optimize report performance and user experience.
Support enterprise reporting initiatives across departments.
Requirements
Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related field
Nice to have: 5+ years of Business Intelligence or Reporting experience
Nice to have: 3+ years of Power BI development experience
Nice to have: Experience building executive and operational dashboards
Nice to have: Experience working with Azure-based data platforms
Design, implement, maintain, and secure Azure-based data platforms, building and managing data pipelines, storage solutions, processing frameworks, and cloud infrastructure to support enterprise reporting, analytics, and business intelligence initiatives.
Compensation
Salary : $105,000~$135,000/y, DOE
Responsibilities
Design, develop, and maintain ETL/ELT pipelines
Build automated batch and near real-time data integration processes
Integrate data from on-premises and cloud systems
Troubleshoot and optimize data workflows
Design and maintain data warehouse and data lake architectures
Requirements
Bachelor's degree in Computer Science, Information Systems, or related field
Nice to have: Power BI environments
Nice to have: Experience migrating on-premises systems to Azure
We are seeking a highly skilled and experienced Technical Manager specializing in Microsoft Technologies to lead architecture design, implementation, and the development of Microsoft-based solutions for US healthcare insurance analytics.
Responsibilities
Architectural Design and Implementation of scalable, reliable, and high-performance solutions based on Microsoft technologies.
Requirements Gathering and Analysis by collaborating with stakeholders to translate objectives into architectural blueprints.
Mentoring and Knowledge Transfer to new engineers and sharing best practices.
Alignment with Business Goals with project managers, business analysts, and QA teams.
Code Quality and Security through thorough code reviews and enforcing standards.
Requirements
Master’s or bachelor’s degree from Engineering Background
Senior Azure Data Platform Engineer / Architect to support a major enterprise data platform uplift for a leading Australian financial services organisation.
Responsibilities
Assess and uplift existing Azure data platform components.
Analyse and document dependencies across ingestion pipelines, business rules and semantic models.
Migrate and optimise ETL/ELT processes.
Develop and implement Azure data engineering solutions.
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