Job DescriptionWe are looking for a Data Engineer with strong 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.
NThe candidate should havestrong knowledge of modern data architecture, Lakehouse architecture, SQL, Python, data governance, and healthcare domain workflows.
NResponsibilities
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- Design and lead Databricks Lakehouse for large-scale healthcare data platforms. N
- Design data ingestion, transformation, storage, and consumption patterns using Databricks. N
- Develop Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables/Lakeflow. N
- Integrate data from multiple healthcare sources, including clinical, claims, eligibility, provider, and patient systems. N
- Design robust ETL/ELT pipelines using PySpark, SQL, and Databricks. N
- Establish data quality,validation, reconciliation, lineage, and governance frameworks. N




- Design secure healthcare data solutions while considering HIPAA and PHI/PII protection requirements. N
- Work with cloud platforms such as Azure, AWS, or GCP to build scalable data solutions. N
- Collaborate with data engineers, data scientists, analysts, product owners, and business stakeholders. N
- Define technical standards, architectural patterns, and best practices for Databricks development. N
- Lead performance optimization and cost-management initiatives across the Databricks platform. N
- Provide technical leadership and mentoring to data engineering teams. N
- Participate in Agile ceremonies and contribute to technical planning and roadmap discussions. N

nQualifications
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- Solid hands-on experience with Databricks. N
- 3-6 years of Experiencein Databricks N
- Expertise in Lakehouse architecture and Delta Lake. N
- Strong PySpark and SQL skills. N
- Experience with Unity Catalog and data governance. N
- Expe

📌 Hiring: Senior Data Engineer (Faridabad)
🏢 EXL
📍 Faridabad