Specialist, Process Data Engineering

3640 MSD Hyderabad Global Capabilities Center India Private Limited; Hyderabad; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

MSD is seeking a Job Description Specialist, Process Data Engineering in Hyderabad to architect data pipelines and process models for enterprise systems. You will drive SDLC governance, build AI-enabled process copilots, and deploy predictive ML models to preempt delays and compliance risks.

The role emphasizes cloud data engineering, object-centric modeling, and collaboration across global teams to enable data‑driven decision making in healthcare and biopharma operations.

Qualifications

• Bachelor’s degree in information technology, Computer Science or quantitative field.
• 3 to 6 years of experience in Data Engineering.

Responsibilities

• Data Pipeline Engineering: Architect and manage highly scalable ETL/ELT pipelines to extract raw event logs and transactional data from core systems like SAP, Veeva Vault/CRM, Appian, Oracle.
• Process Data Architecture Design: Implement Object‑Centric Data Models with custom entity types and relationships for a dynamic Process Digital Twin.
• Agile Delivery & SDLC: Operate within an Agile Scrum framework, translate requirements into stories, participate in sprint rituals, and manage SDLC promotions.
• AI & Agentic Orchestration: Develop and deploy process‑aware AI agents and automated action flows; integrate LLMs to create Process Copilots for natural language data queries.
• Predictive Process Monitoring: Build ML models (Python/R) on the process data graph to predict delays, compliance risks, and bottlenecks.
• IT Governance & AI Ethics: Ensure pipelines, AI integrations, and deployments comply with IT policies, GxP standards, and CI/CD practices.

Skills

SQL Data modeling

Process Mining

Spark SQL

Agile SDLC

Git

Python

Process Engineering/Modeling

Education

Bachelor's degree in information technology or related field

Tools

SAP

Veeva Vault/CRM

Appian

Oracle

Jira

Confluence

Git/Bitbucket

Job description

Job Description Specialist, Process Data Engineering

Job Description Specialist, Process Data Engineering The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well‑being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.

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). 3 to 6 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
• Python
• Process Engineering/Modeling

Secondary Skills (Nice to have)

• SDLC Architecture & Agile Leadership
• Proven ability to design robust CI/CD pipelines specifically for process data models and AI agents.
• Experience participating in backlog grooming, sprint planning, and cross‑functional Agile delivery.
• AI-Driven Digital Twin Architecture
• Ability to structure the object‑centric data model specifically so it can serve as a highly accurate, real‑time knowledge base (RAG foundation) for enterprise AI agents.
• Business‑to‑Technical Data Mapping: Ability to translate functional business workflows (e.g., Order‑to‑Cash, IT Service Management, Clinical Operations) directly into backend table schemas.

SAP ECC & SAP HANA Mastery

Deep architectural understanding of core SAP data structures (e.g., VBAK/VBAP, EKKO/EKPO, BKPF/BSEG) and how they evolve between ECC and S/4HANA environments.

ServiceNow & Veeva Architecture

Thorough understanding of the ServiceNow Task table architecture and Veeva Vault/CRM object models.

Who we are:

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

What we look for:

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.

Compensation Information:

• Agile SDLC
• Data Modeling
• Git
• Process Engineering
• Process Mining
• Process Modeling
• Python (Programming Language)
• Spark SQL
• Structured Query Language (SQL)

Employee Status:

• Regular
• Relocation: Domestic
• VISA Sponsorship: No
• Travel Requirements: No Travel Required
• Flexible Work Arrangements: Hybrid
• Shift: Not Indicated
• Valid Driving License: No
• Hazardous Material(s): n/a

Job Posting End Date: 11/10/2026

Our company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where we have codified our legacy for over a century. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.