Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in Python, Azure, CI/CD, deployment, and writing efficient data pipelines. You will be responsible for designing, developing, and maintaining robust data infrastructure and pipelines that support our data-driven decision-making processes.

Primary Responsibilities

Data Pipeline Development: Design, develop,



and maintain effective and scalable data pipelines using Python and Azure technologies
Data Integration: Integrate data from various sources, ensuring data quality and consistency
Azure Cloud Services: Utilize Azure cloud services for data storage, processing, and analytics, including Azure Data Factory, Azure Databricks, and Azure SQL Database
CI/CD Implementation: Implement and manage CI/CD pipelines to automate the deployment of data solutions
Data Modeling: Develop and maintain data models to support business intelligence and analytics needs
Performance Optimization: Optimize data processing and storage solutions for performance and cost-efficiency
Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs
Documentation: Create and maintain comprehensive documentation for data pipelines, processes, and solutions
Troubleshooting: Identify an

📌 Data Engineering Consultant (Noida)
🏢 Optum India
📍 Noida