Back
Specialized Databricks and healthcare focus reduces candidate pool despite general data engineer demand.
Healthcare domain and HIPAA/PHI requirements increase industry specificity despite transferable Databricks skills.
Multiple mandatory Databricks, Delta Lake, Unity Catalog, PySpark, and healthcare requirements raise shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and lead scalable, secure Databricks Lakehouse architectures for large-scale healthcare data platforms.
Develop and optimize ETL/ELT pipelines and data integration across multiple healthcare data sources using Delta Lake, Unity Catalog, and Databricks workflows.
Provide technical leadership, establish architectural standards, and drive performance and cost optimization of Databricks platform implementations.
Strong hands-on experience with Databricks, including Delta Lake, Unity Catalog, and Databricks Workflows.
Proficiency in PySpark and SQL for ETL/ELT pipeline development.
Experience with cloud platforms such as Azure, AWS, or GCP for building scalable data solutions.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in healthcare data domain including clinical, claims, eligibility, provider, and patient system data integration.
Skilled in designing secure data solutions compliant with HIPAA and PHI/PII protection standards.
Capable of leading teams with a focus on technical planning, Agile methodologies, and governance frameworks in enterprise-scale data environments.