Jon Description:

We are seeking an experienced Azure Databricks Engineer with 6+ years of experience in Data Engineering and robust expertise in Azure cloud technologies. The ideal candidate should have hands-on experience building scalable data pipelines using Azure Databricks, PySpark, and Azure Data Factory, along with a solid understanding of US Healthcare data models, claims, provider, member, and clinical datasets.
The candidate will be responsible for designing, developing, and optimizing enterprise-scale data solutions while ensuring compliance with healthcare data standards and governance requirements.

Mandatory Skills: Azure Databricks, PySpark, Python, SQL, Azure Data Factory, Azure Synapse, ADLS Gen2, Delta Lake, US Healthcare Domain.

Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks and Azure Data Factory.
- Build and optimize data ingestion, transformation, and processing frameworks using PySpark and Spark SQL.
- Develop and maintain data solutions using Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics,



and Azure SQL.
- Implement Lakehouse architecture using Delta Lake and Databricks best practices.
- Work with large healthcare datasets including Claims, Membership, Provider, Clinical, EHR/EMR, HL7, and FHIR data.
- Ensure data quality, governance, security, and compliance with healthcare regulations.
- Perform performance tuning and optimization of Databricks clusters, notebooks, and Spark jobs.
- Collaborate with Data Architects, Business Analysts, Data Scientists, and Healthcare SMEs.
- Develop reusable frameworks and CI/CD pipelines using Azure DevOps.
- Support production deployments, monitoring, troubleshooting, and incident resolution.

Required Skills:
- 6+ years of experience in Data Engineering.
- 6+ years of hands-on experience with Azure Databricks.
- Strong expertise in:
- Azure Databricks
- PySpark
- Spark SQL
- Python
- SQL
- Azure Data Factory (ADF)
- Azure Data Lake St

📌 Data Engineer (India)
🏢 Sagility
📍 India