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RQ08815 - Systems Administrator/Operations Support Specialist - Senior
Senior Systems Administrator supports a government case-management platform, handling monthly releases, production deployments, and ITIL-aligned operations for critical public-sector applications.
RQ08855 - Business Analyst - Senior
The Senior Business Analyst will lead requirements gathering, business process modeling, and solution design for I&IT initiatives. The role requires extensive experience in business architecture, data warehouse concepts, and stakeholder engagement within a hybrid work environment.
RQ08701 - DataOps/Cloud Data Engineer - Senior
Senior DataOps/Cloud Data Engineer designing and managing Azure-based data pipelines, database CI/CD, data warehouse/lakehouse architectures, and Oracle/SQL Server database administration for a government ministry client.
RQ08625 - Software Developer - Senior
This role is for a Senior Software Developer to design, develop, and maintain data warehousing and BI solutions using Azure PaaS, SQL, and Power BI. The developer will work in a hybrid environment to build real-time analytics pipelines and support Computer Aided Dispatch (CAD) systems.
RQ08497 - Software Developer - Senior
The Senior Software Developer will design and implement data pipelines and transformation procedures using Python and AWS services. The role involves managing data models, monitoring automated data loads, and providing technical leadership within a hybrid work environment.
RQ08100: Software Developer - ETL
Build and maintain ETL pipelines in Azure Databricks and PySpark to move and transform healthcare data into FHIR and analytics-ready formats.
RQ08202 - Solutions Designer - Senior
The Senior Solutions Designer will design and implement hosting and ETL solutions, focusing on data migration and integration between Oracle and SQL Server environments. The role involves working with Informatica, Cognos, and various BI tools to support government project requirements.
DataBricks Data Architect
Senior Data Architect leading 10+ data engineers to build and optimize a Databricks Lakehouse platform on Azure for a financial services firm, focusing on PySpark, Delta Lake, Unity Catalog governance, and Spark performance tuning.