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



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

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- Strong hands-on experience with Databricks.
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- 3-6 years of Experiencein Databricks
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- Expertise in Lakehouse architecture and Delta Lake.
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- Strong PySpark and SQL skills.
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- Experience with Unity Catalog and data governance.
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- Experience designing enterprise-scale data platforms.
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- Strong knowledge of ETL/ELT and data modeling.
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- Experience with cloud platforms such as Azure, AWS, or GCP.
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- Experience with data integration and orchestration tools.
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- Knowledge of CI/CD, Git, and DevOps practices.
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- Strong understanding ofdata security and access control.
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- Experience with Agile/Scrum methodologies.
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📌 Hiring: Senior Data Engineer (Faridabad)
🏢 EXL
📍 Faridabad