5 - 8 years of backend engineering experience with Python as the primary language.
Proven experience with FastAPI or comparable async Python frameworks (Starlette, Flask) in production.
Hands-on experience with Databricks, Apache Spark, and Delta Lake (Bronze/Silver/Gold patterns).
Strong understanding of SQL and data modeling for analytical workloads.
Experience designing and consuming RESTful APIs with OpenAPI/Swagger specifications.
Familiarity with Azure cloud services (Azure Data Factory, Azure Service Bus, Azure Key Vault, Azure PostgreSQL).
Experience in regulated environments with data traceability, audit logging, and compliance documentation requirements.
Strong written and verbal communication skills in English.
Preferred / Nice-to-Have
Experience with CDISC standards (SDTM, ADaM, CDASH) or clinical trial data management systems.
Familiarity with GxP validation, 21 CFR Part 11, HIPAA data handling, or pharma/biotech CRO environments.
Experience with Databricks Unity Catalog, including ABAC policies and multi-tenant catalog architecture.
Knowledge of Delta Live Tables (DLT) for declarative pipeline development.
Exposure to MLflow or Databricks Model Serving for integration with AI/ML components.
Experience with event-driven architectures using Azure Service Bus or Kafka.
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Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Back End DeveloperEmployement Type: Full time