Our Mission:
Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable.
Overview:

• Design, develop, and optimize end-to-end data pipelines and ETL/ELT workflows using Databricks and Azure Data Services.
• Implement and maintain scalable data architectures supporting AI/ML model training and deployment.
• Manage and optimize NoSQL databases (e.g., Cosmos DB, MongoDB, Cassandra, ElasticSearch) for high availability and performance.
• Develop infrastructure as code (IaC) solutions using tools like Terraform, ARM templates, or Azure Bicep to automate cloud resource provisioning.
• Build and maintain CI/CD pipelines for data engineering workflows to ensure reliable and repeatable deployments.
• Collaborate with data scientists and ML engineers to understand data requirements and deliver clean, well-structured datasets for model development.
• Monitor, troubleshoot, and optimize data workflows and infrastructure to ensure data quality and system reliability.
• Establish best practices for data engineering, including data governance, security, and compliance.
• Stay current with emerging technologies and industry trends in data engineering, cloud computing, and AI/ML.