Job Description
We 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 have strong 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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- Strong hands-on experience with Databricks .n
- 3-6 years of Experience in Databricksn
- Expertise in Lakehouse architecture and Delta Lake.n
- Robust PySpark and SQL skills.n
- Experience with Unity Catalog and data governance.n
- Experience designing

📌 Senior Data Engineer (Noida)
🏢 EXL
📍 Noida