Jon Description:
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.
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 Storage (ADLS)
Azure Synapse Analytics
Delta Lake
Experience with Data Warehousing concepts, Data Modeling (Star/Snowflake Schema), and ETL/ELT development.
Knowledge of Medallion Architecture (Bronze, Silver, Gold layers).
Experience with Git, Azure DevOps, and CI/CD implementation.
Strong understanding of performance tuning and optimization techniques in Databricks.

US Healthcare Experience (Mandatory)
Minimum 2+ years of experience working in the US Healthcare domain.
Robust understanding of:
Claims Data
Member Data
Provider Data
Clinical Data
EHR/EMR Systems
HL7/FHIR Standards
HIPAA Compliance
PHI/PII Data Handling
Experience supporting healthcare analytics and reporting initiatives.

Preferred Skills
Experience with Azure Event Hub or Kafka.
Knowledge of MLflow and Databricks Workflows.
Experience with Power BI.
Exposure to Microsoft Purview or other Data Governance tools.
Azure Data Engineer or Databricks Certification preferred.

Educational Qualification
Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.

Key Competencies
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management skills.
Ability to work independently in a fast-paced environment.
Experience collaborating with global teams and business stakeholders.

Note:
Face-to-Face Interview Drive – 5-Sep-2026 | Bangalore
Interview Date: 5-Sep-2026
⏰ Interview Timing: 10:00 AM – 12:00 PM
Location: Bangalore – AMR Tech Park
Work Mode: Hybrid – 2 days WFO per week
Shift Timing: 2:00 PM – 11:00 PM
Notice Period: Immediate to 15 Days
Interested candidates, please share your updated profile to:
[email protected]

Thanks & regards,
Shaik Thanveer Ahamed

📌 Data Engineer (Bengaluru)
🏢 Sagility
📍 Bengaluru