Description

Lead the design and implementation of clinical data and analytics solutions using Azure and Databricks.

Responsibilities

• Build and optimize data pipelines, streams, and platforms for clinical datasets.
• Implement data migration and processing using Azure services and serverless architecture.
• Provide technical direction to database developers and analysts.
• Collaborate with stakeholders and remote teams using agile delivery methodologies.
• Use Azure data services to store, cleanse, and enhance datasets.

Required Skills

• 5+ years of experience in data engineering.
• Strong proficiency in PySpark, SQL, and Scala.
• Hands-on experience with Databricks.
• Expertise in Azure services including Azure Storage, Data Factory, Stream Analytics, and Azure Data Catalog.
• Experience implementing CI/CD via Azure DevOps.
• Proven track record with Serverless Architecture.
• Experience in clinical or pharmaceutical data environments.

Key Skills

Education

Any Gradute