Description

We are looking for a Senior Databricks Data Engineer with robust expertise in Databricks, data engineering, and healthcare data. The ideal candidate will be responsible for designing scalable, secure, and high-performance data platforms supporting healthcare analytics and data integration.

The candidate should have strong knowledge of up-to-date data architecture, Lakehouse architecture, SQL, Python, data governance, and healthcare domain workflows.

Responsibilities

- Design and lead Databricks Lakehouse for large-scale healthcare data platforms.
- Design data ingestion, transformation, storage, and consumption patterns using Databricks.
- Develop Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables/Lakeflow.
- Integrate data from multiple healthcare sources, including clinical, claims, eligibility, provider, and patient systems.
- Design robust ETL/ELT pipelines using PySpark, SQL, and Databricks.
- Establish data quality, validation, reconciliation, lineage, and governance frameworks.
- Design secure healthcare data solutions while considering HIPAA and PHI/PII protection requirements.
- Work with cloud platforms such as Azure, AWS, or GCP to build scalable data solutions.




- Collaborate with data engineers, data scientists, analysts, product owners, and business stakeholders.
- Define technical standards, architectural patterns, and best practices for Databricks development.
- Lead performance optimization and cost-management initiatives across the Databricks platform.
- Provide technical leadership and mentoring to data engineering teams.
- Participate in Agile ceremonies and contribute to technical planning and roadmap discussions.

Qualifications

- Solid hands-on experience with Databricks.
- Expertise in Lakehouse architecture and Delta Lake.
- Strong PySpark and SQL skills.
- Experience with Unity Catalog and data governance.
- Experience designing enterprise-scale data platforms.
- Strong knowledge of ETL/ELT and data modeling.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Experience with data integration and orchestration tools.
- Knowledge of CI/CD, Git, and DevOps practices.
- Strong understanding of data security and access control.
- Experience with Agile/Scrum methodologies.

Preferred candidate profile

📌 Databricks Data Engineer (Noida)
🏢 EXL
📍 Noida