We are hiring for our client Sagility India.

Interview Rounds – 3 rounds including 1 round f2f

Shift Timings – 2 PM to 11 PM

Location: Bangalore- Bomanahalli

Work Mode – 2 days WFO

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.

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

Technical Skills





- 6+ years of experience in Data Engineering.
- 6+ years of hands-on experience with Azure Databricks.

- Robust 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.

- Strong 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.

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

📌 Azure Data Engineer (Bengaluru)
🏢 Naukri e-Hire
📍 Bengaluru