Data Engineer designing and maintaining scalable data solutions on Databricks for clinical trials. Collaborating with teams to overcome data challenges and ensure the smooth logistics of clinical supplies.
Responsibilities
Design, build, and own scalable batch and streaming data pipelines
Develop and maintain data infrastructure in a modern cloud-native setup
Implement and evolve data models based on medallion architecture principles
Solve real-world data challenges with a strong focus on quality, performance and reliability
Work hands-on with technologies such as Databricks, Python, PySpark, SQL, Git, Kafka, Terraform and more.
Requirements
Professional experience in data engineering, analytics engineering, software engineering with a data focus
Solid experience working with Python for data processing
Comfort working with Git in a collaborative development workflow
Strong SQL skills and experience working with relational data
Experience working in cloud environments such as Azure, AWS, or GCP
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