Specialist, Process Data Engineering

MSD; Hyderabad; Hybrid; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

MSD is seeking a Specialist, Process Data Engineering to architect robust data pipelines ingesting enterprise data into an object-centric process data model. You will drive end-to-end SDLC in an Agile setup, build predictive ML models, and deploy process-aware AI agents for autonomous execution management across the enterprise.

You will work with SAP, Veeva, Appian, and ServiceNow data sources, focusing on data modeling, process mining, and AI ethics under GxP guidelines.

Qualifications

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

Responsibilities

• Design and manage scalable ETL/ELT pipelines from SAP, Veeva Vault/CRM, Appian, Oracle.
• Define object-centric data models and dynamic Process Digital Twin architectures.
• Translate business requirements into technical user stories and manage SDLC code promotions.
• Develop and deploy process-aware AI agents and LLM-integrated copilots.
• Apply ML models to predict delays, risks, and bottlenecks in process data graphs.
• Ensure governance, 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, Computer Science or quantitative field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)

Tools

Jira/Confluence

Git/Bitbucket

TensorFlow/PyTorch

Job description

Job Description

Specialist, Process Data Engineering

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 well‑known org Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, 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.

Required Skills

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

Secondary Language(s) Job Description

#MSDHYDIT

Search Firm Representatives Please Read Carefully

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre‑existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

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

09/25/2026

• A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID

R416425