Specialist, Process Data Engineering (Mindspace)

Specialist, Process Data Engineering (Mindspace)

21 Sep
|
Msd
|
Mindspace

21 Sep

Msd

Mindspace

Job Description

Specialist, Process Data Engineering

The Opportunity
Join a global biopharma company with a 130-year legacy and mission to achieve new milestones in healthcare. Be part of technology driven, data-led organization supporting a diversified portfolio of medicines, vaccines and animal health products. Work alongside passionate teams that use data, analytics and insights to drive decisions, and tackle some of the world’s greatest health threats.

Our Technology Centers are globally distributed hubs that enable our digital transformation and business outcomes across IT. They bring together diverse teams to collaborate, share best practices, and deliver solutions that save and improve lives.

This role is based at our Hyderabad Tech Center and follows a hybrid working model (3 days per week in the office and 2 days remote). Candidates are expected to reside within a commuting distance of the Hyderabad office.

Role Overview
As a Process Data Engineer, you are the technical architect of our global Process Intelligence and AI initiatives.



Your primary focus is constructing robust data pipelines that ingest transactional data from diverse enterprise systems (SAP, Veeva, Appian, ServiceNow) into an advanced, object-centric process data model. Operating within an Agile framework, you will manage the end-to-end Software Development Life Cycle (SDLC) of these models, leveraging them to build predictive machine learning models and deploy process-aware AI agents that enable autonomous execution management across the enterprise.

What will you do in this role
- Data Pipeline Engineering Architect and manage highly scalable ETL/ELT pipelines to extract raw event logs and transactional data from core organisation systems (SAP, Veeva Vault/CRM, Appian, Oracle).
- Process Data Architecture Design and implement Object-Centric Data Models. Define custom entity types and relationships rather than relying on flat, single-case event logs to build a agile Process Digital T

📌 Specialist, Process Data Engineering (Mindspace)
🏢 Msd
📍 Mindspace

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