The Dignify Solutions LLC
Data Architect with Pharmacovigilance experience - (Fulltime)
The Dignify Solutions LLC, Raritan, New Jersey, us, 08869
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 purposesDesign 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 warehousesWrite clear, detailed, concise documentation-architecture diagrams, reference architecture, data flows, data models, design, and implementation planImprove 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 ScriptsShould have through understanding of GCP services for data, analytics and AI such as BigQuery, Apache Kafka, Vertex AI, Auto Client, Gemini etc.
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 purposesDesign 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 warehousesWrite clear, detailed, concise documentation-architecture diagrams, reference architecture, data flows, data models, design, and implementation planImprove 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 ScriptsShould have through understanding of GCP services for data, analytics and AI such as BigQuery, Apache Kafka, Vertex AI, Auto Client, Gemini etc.