Job DescriptionWe are looking for a 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. NThe candidate should havestrong knowledge of modern data architecture, Lakehouse architecture, SQL, Python, data governance, and healthcare domain workflows. NResponsibilitiesn N 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. NnQualificationsn N Strong 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 Experience designing enterprise-scale data platforms. N Strong knowledge of ETL/ELT and data modeling. N Experience with cloud platforms such as Azure, AWS, or GCP. N Experience with data integration and orchestration tools. N Knowledge of CI/CD, Git, and DevOps practices. N Strong understanding ofdata security and access control. N Experience with Agile/Scrum methodologies. N

📌 Senior Data Engineer (Faridabad)
🏢 EXL
📍 Faridabad