Jon Description: /n /n We are seeking an experienced Azure Databricks Engineer with 6+ years of experience in Data Engineering and strong 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. /n The candidate will be responsible for designing, developing, and optimizing enterprise-scale data solutions while ensuring compliance with healthcare data standards and governance requirements. /n /n Mandatory Skills: Azure Databricks, PySpark, Python, SQL, Azure Data Factory, Azure Synapse, ADLS Gen2, Delta Lake, US Healthcare Domain. /n /n Key Responsibilities /n /n
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks and Azure Data Factory.
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- Build and optimize data ingestion, transformation, and processing frameworks using PySpark and Spark SQL.
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- Develop and maintain data solutions using Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure SQL.
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- Implement Lakehouse architecture using Delta Lake and Databricks best practices.
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- Work with large healthcare datasets including Claims, Membership, Provider, Clinical, EHR/EMR, HL7, and FHIR data.
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- Ensure data quality, governance, security, and compliance with healthcare regulations.
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- Perform performance tuning and optimization of Databricks clusters, notebooks, and Spark jobs.
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- Collaborate with Data Architects, Business Analysts, Data Scientists, and Healthcare SMEs.
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- Develop reusable frameworks and CI/CD pipelines using Azure DevOps.
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- Support production deployments, monitoring, troubleshooting, and incident resolution.
/n /n /n Required Skills: /n /n
- 6+ years of experience in Data Engineering.
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- 6+ years of hands-on experience with Azure Databricks.
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- Strong expertise in:
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- Azure Databricks
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- PySpark
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- Spark SQL
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- Python
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- SQL
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- Azure Data Factory (ADF)
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- Azure Data Lake Storage (ADLS)
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- Azure Synapse Analytics
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- Delta Lake
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- Experience with Data Warehousing concepts, Data Modeling (Star/Snowflake Schema), and ETL/ELT development.
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- Knowledge of Medallion Architecture (Bronze, Silver, Gold layers).
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- Experience with Git, Azure DevOps, and CI/CD implementation.
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- Solid understanding of performance tuning and optimization techniques in Databricks.
/n /n /n US Healthcare Experience (Mandatory) /n /n
- Minimum 2+ years of experience working in the US Healthcare domain.
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- Strong understanding of:
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- Claims Data
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- Member Data
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- Provider Data
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- Clinical Data
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- EHR/EMR Systems
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- HL7/FHIR Standards
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- HIPAA Compliance
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- PHI/PII Data Handling
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- Experience supporting healthcare analytics and reporting initiatives.
/n /n /n Preferred Skills /n /n
- Experience with Azure Event Hub or Kafka.
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- Knowledge of MLflow and Databricks Workflows.
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- Experience with Power BI.
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- Exposure to Microsoft Purview or other Data Governance tools.
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- Azure Data Engineer or Databricks Certification preferred.
/n /n /n Educational Qualification /n /n
- Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.
/n /n /n Key Competencies /n /n
- Strong analytical and problem-solving skills.
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- Excellent communication and stakeholder management skills.
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- Ability to work independently in a fast-paced environment.
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- Experience collaborating with global teams and business stakeholders.
/n /n /n Note: /n Face-to-Face Interview Drive – 5-Sep-2026 | Bangalore /n Interview Date: 5-Sep-2026 /n ⏰ Interview Timing: 10:00 AM – 12:00 PM /n Location: Bangalore – AMR Tech Park /n Work Mode: Hybrid – 2 days WFO per week /n Shift Timing: 2:00 PM – 11:00 PM /n Notice Period: Immediate to 15 Days /n Interested candidates, please share your updated profile to: /n
[email protected] /n /n Thanks & regards, /n Shaik Thanveer Ahamed /n
📌 Data Engineer (Bengaluru)
🏢 Sagility
📍 Bengaluru