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The role involves designing and implementing data pipelines using Azure technologies, integrating various data sources, and optimizing data systems to meet business goals. The candidate will also engage in real-time streaming and advanced analytics modeling while focusing on data quality and transformation techniques.

The role involves analyzing business requirements, constructing data flow processes, consulting on design reviews, and developing Business Intelligence strategies. The consultant will also manage client issue escalations, lead validation for data quality, and work with cross-functional teams to implement scalable solutions.

The Technical Data Steward is responsible for data governance, quality, and integrity management. This role entails implementing governance frameworks, ensuring compliance with regulations, overseeing data quality initiatives, managing data lifecycle, and working with various teams to enhance data standards and policies.

The MLOps Engineer will be responsible for training, deploying, and monitoring machine learning models using AWS technologies. They will collaborate with Data Engineers and Data Scientists to develop pipelines and build testing frameworks, leveraging tools like Apache Airflow and Docker. They should have deep knowledge of machine learning frameworks and AWS services for effective model evaluation and implementation.

The Manager - Analytics Consulting (Insurance) manages analytics projects, collaborates with client stakeholders to design analytics solutions, and presents insights to senior management. The role requires expertise in data science and experience in the insurance industry.

The Azure Databricks Admin will provide technical expertise in deploying applications on the Azure Databricks platform, manage memory, handle scheduling queues, supervise cluster health, perform regular backups, and oversee code deployment. They will guide junior engineers and ensure smooth operations within a fast-paced environment.

The Solutions Architect will lead the design and implementation of solutions in PLM systems, drive business process improvements, manage integrations, and ensure project support. This role requires strong leadership in a multi-disciplinary environment and a deep understanding of system architecture.