Job DescriptionWe are looking for a Databricks 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 contemporary data architecture, Lakehouse architecture, SQL, Python, data governance, and healthcare domain workflows.
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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

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nQualifications:
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Robust hands-on experience with Databricks. N
Expertise in Lakehouse architecture and Delta Lake. N
Solid PySpark and SQL skills. N
Experience with Unity Catalog and data governance. N
Experience designing ente

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