Senior Specialist, Process Data Engineering

MSD; Hyderabad; Hybrid; INR 2,200,000 - 4,200,000; Full time

Job summary

MSD Hyderabad Tech Center seeks a Senior Specialist, Process Data Engineering to architect scalable ETL pipelines and object-centric data models. You will drive SDLC, enable AI agents, and integrate LLMs to empower business users with natural language data access.

The role emphasizes predictive process monitoring using ML and strict governance aligned with GxP and policy standards. Hybrid work requires presence 3 days/week in office and 2 days remote.

Qualifications

• Bachelor's degree in IT/CS or quantitative field with 7–11 years of data engineering experience.
• Experience building data pipelines and ETL/ELT processes from SAP, Veeva Vault/CRM, Appian, Oracle.

Responsibilities

• Architect and manage scalable ETL/ELT pipelines to ingest transactional data from core systems.
• Design object-centric data models and define entity types and relationships.
• Operate in Agile/Scrum, manage SDLC and code promotion across environments (Dev/QA/Prod).
• Develop process-aware AI agents and integrate LLMs for natural language query of operations.
• Apply ML for predictive monitoring to anticipate delays and bottlenecks.

Skills

SQL

Data Modeling

Process Mining

Spark SQL

Agile SDLC

Git

Python

LLM API

Education

Bachelor's degree in Information Technology or Computer Science or quantitative field

Tools

Jira/Confluence

Git/Bitbucket

Python (pandas, scikit-learn)

Job description

Job Description Senior 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 dynamic Process Digital Twin.
• Agile Delivery & SDLC: Operate within an Agile Scrum methodology. Translate business requirements into technical user stories, participate in sprint rituals, and manage strict SDLC code promotion (Dev, QA, Prod) for all data models and AI applications.
• AI & Agentic Orchestration: Develop and deploy process-aware AI agents and automated action flows. Integrate Large Language Models (LLMs) to create "Process Copilots" that allow business users to query operational data using natural language.
• Predictive Process Monitoring: Implement Machine Learning models (using Python/R) on top of the process data graph to predict process delays, compliance risks, and operational bottlenecks before they occur.
• IT Governance & AI Ethics: Ensure all pipelines, AI integrations, and deployments strictly comply with our Information Technology policies, GxP standards, and corporate AI ethics guidelines using robust version control and CI/CD pipelines.

What should you have

Bachelor's degree in information technology, Computer Science or quantitative field (Statistics, Econometrics, Computer Science, Mathematics, Engineering). 7 to 11 years of experience in Data Engineering.

Required Skills

Database & Cloud Engineering

• Expert-level SQL and data modeling.
• Deep understanding of relational databases, data warehousing, and handling multi-terabyte datasets.

Process Platform Expertise

• Extensive hands-on experience with leading Enterprise Process Mining platforms, specifically dealing with multi-object graphing and execution management.

Agile & SDLC Methodologies

• Proven experience working in Agile/Scrum environments.
• Proficiency with Jira/Confluence for sprint tracking, and Git/Bitbucket for version control and managing release branches.

Applied AI & Machine Learning

• Experience building predictive models applied to time-series or event log data.
• Proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch) and LLM API integrations.

Source System Knowledge

• Strong understanding of underlying database schemas and APIs for Veeva (Vault/CRM), Appian, and SAP.

Primary Skills (Must have)

• SQL
• Data Modeling
• Process Mining
• Spark SQL
• Agile SDLC
• Git