Data Architecture Specialist

2 days ago


Bengaluru, Karnataka, India Birlasoft Full time
About Birlasoft

Birlasoft is a leading technology company that combines domain expertise, enterprise solutions, and digital technologies to redefine business processes. Our consultative approach and design thinking drive societal progress by enabling customers to run businesses with unmatched efficiency and innovation. As part of the CK Birla Group, we boast a 12,500+ professional team committed to upholding the Group's legacy.

Estimated Salary: ₹1,200,000 - ₹1,800,000 per annum (based on experience)Job DescriptionAbout the Job

We are seeking an experienced pharmacovigilance expert to own the end-to-end architecture of modern safety/pharmacovigilance data platforms. This role involves ingesting data from various systems, transforming it into insights for internal and external users using a scalable big data pipeline on Google Cloud Platform (GCP).

  • Pharmacovigilance experience is essential, 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, such as 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 disaster recovery plans.
  • Should be able to write complex scripts using IronPython, JavaScript, HTML, CSS, along with basic functions in Python and R Scripts.
  • Should have thorough understanding of GCP services for data, analytics, and AI, such as BigQuery, Apache Kafka, Vertex AI, AutoML, and Gemini.


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