Key Responsibilities:Data Pipeline Development:Design, develop, and maintain scalable data pipelines using Databricks, Azure Data Factory, and other ETL tools.Optimize data workflows for efficient ingestion, transformation, and delivery of data from varioussources.Advanced Analytics:Utilize Python, SQL, PySpark, and Spark SQL for advanced data processing, analysis, and predictive modeling.Qualifications and Skills:Experience: Minimum 7 years of experience in data engineering or related roles, preferably within the medical or healthcare industry.Technical Expertise:Front-end tools: Power BI, Tableau, Qliksense, or equivalent BI platforms.Backend tools: Databricks, Azure Data Factory, SQL Server, or equivalent.Programming: Proficiency in Python, SQL, PySpark, and Spark SQL.Healthcare Knowledge: Familiarity with medical data standards, such as HL7 and FHIR, is a plus.
Job Title
Data Engineer