Company:
The Dignify Solutions, LLC
Location: Raritan
Closing Date: 19/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Own the end-to-end architecture of the modern Safety/Pharmacovigilance Data Platforms which ingests data from the several systems across clinical, non-clinical systems and transforms it into insights for internal and external users using a scalable big data pipeline on GCP.
Pharmacovigilance experience is must, including understanding of ArisG ecosystem for data dependency purposes
Design and develop flexible, scalable and resilient data processing pipelines using industry leading tools and technologies. serverless architectures, containers and Data Fabric.
Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
Write clear, detailed, concise documentation—architecture diagrams, reference architecture, data flows, data models, design, and implementation plan
Improve our API infrastructure connecting the front-end web portals to the back-end processing engine.
Improve our data science/Client footprint by leveraging the latest innovations in the field.
Partner with Security and Risk Management teams to improve security posture and create and test DR plans.
Should be able to write complex Scripts using Iron Python, JS, HTML, CSS along with basic functions in Python, R Scripts
Should have through understanding of GCP services for data, analytics and AI such as BigQuery, Apache Kafka, Vertex AI, Auto Client, Gemini etc.
Own the end-to-end architecture of the modern Safety/Pharmacovigilance Data Platforms which ingests data from the several systems across clinical, non-clinical systems and transforms it into insights for internal and external users using a scalable big data pipeline on GCP.
Pharmacovigilance experience is must, including understanding of ArisG ecosystem for data dependency purposes
Design and develop flexible, scalable and resilient data processing pipelines using industry leading tools and technologies. serverless architectures, containers and Data Fabric.
Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
Write clear, detailed, concise documentation—architecture diagrams, reference architecture, data flows, data models, design, and implementation plan
Improve our API infrastructure connecting the front-end web portals to the back-end processing engine.
Improve our data science/Client footprint by leveraging the latest innovations in the field.
Partner with Security and Risk Management teams to improve security posture and create and test DR plans.
Should be able to write complex Scripts using Iron Python, JS, HTML, CSS along with basic functions in Python, R Scripts
Should have through understanding of GCP services for data, analytics and AI such as BigQuery, Apache Kafka, Vertex AI, Auto Client, Gemini etc.
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