Job Description
Jon Description:
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nWe 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.
nThe candidate will be responsible for designing, developing, and optimizing enterprise-scale data solutions while ensuring compliance with healthcare data standards and governance requirements.
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nMandatory Skills: Azure Databricks, PySpark, Python, SQL, Azure Data Factory, Azure Synapse, ADLS Gen2, Delta Lake, US Healthcare Domain.
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nKey Responsibilities
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- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks and Azure Data Factory.n
- Build and optimize data ingestion, transformation, and processing frameworks using PySpark and Spark SQL.n




- Develop and maintain data solutions using Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure SQL.n
- Implement Lakehouse architecture using Delta Lake and Databricks best practices.n
- Work with large healthcare datasets including Claims, Membership, Provider, Clinical, EHR/EMR, HL7, and FHIR data.n
- Ensure data quality, governance, security, and compliance with healthcare regulations.n
- Perform performance tuning and optimization of Databricks clusters, notebooks, and Spark jobs.n
- Collaborate with Data Architects, Business Analysts, Data Scientists, and Healthcare SMEs.n
- Develop reusable frameworks and CI/CD pipelines using Azure DevOps.n
- Support production deployments, monitoring, troubleshooting, and incident resolution.n

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nRequired Skills:
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- 6+ years of experience in Data Engineering.n
- 6+ years of hands-on experience with Azure Databricks.n
- Strong expertise in:n
- Azure Databricksn
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📌 Data Engineer (Bengaluru)
🏢 Sagility
📍 Bengaluru