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The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

The role involves leading Azure architecture engagements, designing cloud-native solutions, mentoring teams, and collaborating with various stakeholders to optimize cloud adoption and security.

The Engagement Manager will oversee financial modeling, forecasting for healthcare finance, develop business cases, and manage data insights. Responsibilities include establishing cost models, quantifying automation impacts, and ensuring compliance with healthcare regulations while also managing stakeholder relationships and reporting.

Fullstack Engineer responsible for developing and maintaining web applications, integrating backend and frontend systems, and collaborating with cross-functional teams for data decision projects.

Seeking a Senior Data Scientist skilled in GenAI/LLMs to design and implement solutions for enterprise, conducting research and mentoring others.

The GCP Engineer focuses on developing large scale data engineering solutions using GCP, including data pipelines and ETL processes for Fortune clients.

The Data Modeller will design data models, conduct reviews, collaborate with data teams, and maintain industry knowledge to enhance systems.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

The Fullstack Engineer will develop and maintain backend and frontend systems for data projects. Responsibilities include integration, UAT participation, and documentation creation.