Senior Analytics Data Engineer

The Senior Analytics Data Engineer will play a key role in advancing the business as we execute our data strategy. This is a great opportunity for an individual with a passion for using data to drive insights and deliver transformational outcomes to our business.

Requirements

• Design, implement, and optimize scalable and secure Data Pipelines using Azure Data Factory, Azure SQL Server, Fabric Pipelines, Lakehouse, and Warehouse architectures.
• Implement and manage CI/CD/CT pipelines for data workflows, utilizing Azure DevOps, Git integration and Deployment Pipelines.
• Develop and optimize Database Objects (tables, stored procedures, views, and ETL processes to support data ingestion, transformation, and delivery.
• Ensure high availability, performance, and cost-efficiency of data systems through capacity management, monitoring, and optimization.
• In partnership with IT Cloud Ops team architect, design and manage Azure resources including Function Apps, Azure Key Vault, Azure Storage, Integration Runtime, and Entra ID.
• Support the migration of legacy processes to modern cloud-based solutions (e.g., VM Task Scheduler, Power Automate Flows).
• Analytics management of AI Services & Advanced Analytics. (such as Azure AI Foundry, AI Search, Vector DB, etc.)
• Collaborate with cross-functional teams to Integrate MLOps/AIOps frameworks, feature stores, model deployment with IT Cloud Ops, and experimentation.
• Analytics architect and support Power BI semantic modeling, dashboard development, and centralized/self-serve reporting with industrial best practices in Microsoft Fabric Platform.
• Champion analytics data engineering best practices, including code reviews, testing, and documentation.
• Ensure data security, quality, and compliance across all environments.
• Support and mentor cross-functional teams of data engineers, developers, and business developers.
• Ensure seamless integration with version control systems, particularly Git, to manage code changes and collaboration.
• Insightful understanding of Data Science and MLOps is a strong asset.