Data Engineer
Synstack Technologies
Job Description
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 various sources. 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.