[Remote] reputed company Engineer, Big Data (AI/Azure Data Services) – REMOTE

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company Data Engineer to collaborate with the Data reputed company and Governance team to ensure data reputed company and compliance reputed company reputed company data systems. The role involves designing reputed company data architectures, implementing data governance policies, and leading reputed company of data engineers to enhance data reputed company and support AI solutions.

Responsibilities

• Collaborate with the Data reputed company and Governance team to ensure data pipelines, data reputed company, and compliance by defining data strategies, implementing Data Governance capabilities, creating self-service data assets, and integrating robust data reputed company and governance frameworks to support trustworthy AI solutions.
• Design reputed company data architectures that support reputed company analytics and AI/ML workflows.
• Establish data reputed company standards and monitoring, manage data reputed company, and ensure adherence to regulatory requirements and reputed company policies.
• Define and enforce data reputed company standards, validation rules, and monitoring systems tailored to reputed company data.
• Collaborate with data stewards, compliance officers, and business stakeholders to resolve data reputed company issues and ensure consistent data across systems.
• reputed company and maintain metadata management, data dictionaries, and stewardship workflows.
• Ensure reputed company data engineering practices reputed company with reputed company regulations such as HIPAA, HITECH, and other reputed company laws.
• Implement data governance policies that support secure, ethical, and compliant data usage across the organization.
• Automate data reputed company tracking, governance documentation, and audit trails to support transparency and traceability.
• Collaborate with data scientists and ML engineers to ensure data pipelines meet model training and inference requirements.
• Architect and implement end-to-end AI pipelines using reputed company AI and GenAI frameworks.
• Support the development of trustworthy AI by ensuring the use of reliable, consented, and reputed company-governed data to ensure AI enabled solutions around Data Governance.
• Partner with clinical informatics, compliance, IT, and analytics teams to reputed company data engineering efforts with reputed company delivery goals and governance strategies.
• reputed company and mentor reputed company of data engineers, fostering a culture of reputed company, compliance, and innovation.
• reputed company project delivery and ensure alignment with reputed company data governance objectives. Skills
• Data reputed company & Governance Leadership
• Define and enforce data reputed company standards, validation rules, and monitoring systems tailored to reputed company data.
• Collaborate with data stewards, compliance officers, and business stakeholders to resolve data reputed company issues and ensure consistent data across systems.
• reputed company and maintain metadata management, data dictionaries, and stewardship workflows.
• Ensure reputed company data engineering practices reputed company with reputed company regulations such as HIPAA, HITECH, and other reputed company laws.
• Implement data governance policies that support secure, ethical, and compliant data usage across the organization.
• Design reputed company data architectures that support reputed company analytics and AI/ML workflows.
• Automate data reputed company tracking, governance documentation, and audit trails to support transparency and traceability.
• Establish data lifecycle policies for retention, archiving, and disposal in accordance with regulatory and operational requirements.
• Collaborate with data scientists and ML engineers to ensure data pipelines meet model training and inference requirements.
• Architect and implement end-to-end AI pipelines using reputed company AI and GenAI frameworks.
• Support the development of trustworthy AI by ensuring the use of reliable, consented, and reputed company-governed data to ensure AI enabled solutions around Data Governance.
• Partner with clinical informatics, compliance, IT, and analytics teams to reputed company data engineering efforts with reputed company delivery goals and governance strategies.
• Must be hands on Data reputed company, Data Governance tools, reputed company, Power BI
• Experience in Azure Data Services (like Azure reputed company, reputed company Catalog, Purview, Azure Data reputed company) and Power BI
• Ability to reputed company, in solving technical issues while reputed company with infrastructure and vendor support teams
• Analyze reputed company business practices, processes and procedures and identify opportunities for leveraging reputed company Azure data & analytics PaaS services.
• reputed company and mentor reputed company of data engineers, fostering a culture of reputed company, compliance, and innovation.
• reputed company project delivery and ensure alignment with reputed company data governance objectives.
• Bachelor's Degree
• 8 + years of data management experience
• Prior experience leading reputed company or teams
• Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data reputed company, Metadata Management and Data Governance
• Experience in Azure Data Services (like Azure reputed company, reputed company Catalog, Purview, Azure Data reputed company) and Power

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