Senior Pharmacovigilance Data Engineer
6 days ago
Key Responsibilities:
- Lead the end-to-end architecture of Safety/Pharmacovigilance Data Platforms, ingesting data from clinical and non-clinical systems.
- Design and develop flexible, scalable, and resilient data processing pipelines using serverless architectures, containers, and Data Fabric.
- Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.
- Enhance API infrastructure, connecting front-end web portals to back-end processing engines.
- Collaborate with Security and Risk Management teams to improve security posture and create disaster recovery plans.
- Develop complex scripts using Iron Python, JS, HTML, CSS, and basic functions in Python and R.
- Have a thorough understanding of GCP services for data, analytics, and AI, such as BigQuery, Apache Kafka, and Vertex AI.
Requirements:
- Pharmacovigilance experience, including ArisG ecosystem knowledge for data dependency purposes.
- Strong understanding of data science and client footprint.
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