Data Engineer 3
WebSenor (company site, opens in a new tab)5–8 yrsNoidaHybridDirect career pageEst. 12–20 LPA
Posted on 5 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT data pipelines for enterprise healthcare data platforms using Snowflake, Azure Data Factory, and Databricks.
- Integrate diverse healthcare data sources (claims, membership, provider, clinical data) to support analytics, reporting, and AI/ML use cases.
- Ensure data quality, governance, security, and optimize data processing performance while supporting reporting modernization and cloud-based data engineering programs.
Minimum Requirements
- 5–8 years of experience in Data Engineering roles with enterprise-scale data pipeline and data warehouse development.
- Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related field.
- Hands-on experience with SQL, Python, Snowflake, Azure Data Factory, Azure Databricks, and cloud-based data engineering platforms.
- Work Location: Hybrid remote in Noida, Uttar Pradesh.
Ideal Candidate Profile
- Experienced in healthcare data domains including claims, membership, provider, and clinical data with knowledge of healthcare data governance and compliance.
- Proven expertise in cloud data engineering, ETL/ELT frameworks, and data modeling supporting AI/ML and reporting modernization.
- Skilled at collaborating with Data Architects, Data Scientists, and cross-functional teams in an Agile environment to deliver reliable, high-performance data solutions.