Data Analyst - Databricks and ADF
Optum (company site, opens in a new tab)4+ yrsNoidaOn-siteDirect career pageEst. 9–18 LPA
Posted on 30 Aug
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Optum
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Optum you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Architect and scale data ingestion pipelines using Azure-native technologies, Databricks, and Lakehouse architecture to support Risk Adjustment projects.
- Ensure compliance and high performance of data platforms sourcing diagnosis data from claims and medical records.
- Build robust data foundations to enable cross-functional analytics and improve predictive capabilities for Medicare population financial trends.
Minimum Requirements
- Bachelor's Degree in Computer Science Engineering.
- Minimum 4 years of experience working with Cloud technologies including Databricks, Azure Data Factory (ADF), and Snowflake.
- Good understanding of AI concepts and their implementation.
- Work Experience Required: Minimum 4+ years as explicitly mentioned.
Ideal Candidate Profile
- Experienced in architecting scalable data pipelines in a healthcare risk adjustment context leveraging cloud and big data technologies.
- Familiar with Azure ecosystem and modern data engineering best practices focused on real-time and batch processing.
- Capable of ensuring data compliance and optimizing data platforms to support predictive health analytics.