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Merck

Makes medicines, vaccines and animal treatments

Process Data Engineer - Process Data Engineering

Data EngineeringPosted on Nov 3
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • A bachelor's degree in information technology, computer science, or a quantitative field such as statistics, econometrics, mathematics, or engineering is required.
  • Three to six years of experience in data engineering is required.
  • Expert-level SQL and data modeling skills are required, along with a deep understanding of relational databases, data warehousing, and multi-terabyte datasets.
  • Extensive hands-on experience with enterprise process-mining platforms, including multi-object graphing and execution management, is required.
  • Experience in Agile/Scrum environments and proficiency with Jira, Confluence, Git, and Bitbucket are required.
  • Experience building predictive models for time-series or event-log data is required, along with proficiency in Python, pandas, scikit-learn, TensorFlow or PyTorch, and large language model API integrations.
  • Strong understanding of database schemas and APIs for Veeva Vault/CRM, Appian, and SAP is required.
  • Primary skills include SQL, data modeling, process mining, Spark SQL, Agile SDLC, Git, Python, and process engineering/modeling.

Responsibilities

  • Architect and manage scalable ETL/ELT pipelines to extract raw event logs and transactional data from SAP, Veeva Vault/CRM, Appian, and Oracle.
  • Design and implement object-centric data models by defining custom entity types and relationships to build a Process Digital Twin rather than relying on flat, single-case event logs.
  • Work within Agile Scrum, translate business requirements into technical user stories, participate in sprint rituals, and manage SDLC code promotion across development, QA, and production for data models and AI applications.
  • Develop and deploy process-aware AI agents and automated action flows, and integrate large language models to create Process Copilots that let business users query operational data in natural language.
  • Implement machine-learning models on process data to predict delays, compliance risks, and operational bottlenecks.
  • Ensure pipelines, AI integrations, and deployments comply with IT policies, GxP standards, and corporate AI ethics guidelines, using version control and CI/CD pipelines.

Desired Qualifications

  • Design robust CI/CD pipelines for process data models and AI agents, and participate in backlog grooming, sprint planning, and cross-functional Agile delivery.
  • Structure object-centric data models to serve as accurate, real-time knowledge bases and retrieval-augmented generation foundations for enterprise AI agents.
  • Translate business workflows, including Order-to-Cash, IT Service Management, and Clinical Operations, into backend table schemas.
  • Demonstrate deep architectural understanding of SAP ECC and SAP HANA data structures, including VBAK/VBAP, EKKO/EKPO, and BKPF/BSEG, and how they evolve between ECC and S/4HANA.
  • Demonstrate thorough understanding of ServiceNow Task table architecture and Veeva Vault/CRM object models.

About the Company

Merck

Makes medicines, vaccines and animal treatments

Merck develops prescription medicines, vaccines and veterinary treatments for patients, health systems and animal owners worldwide. Its vaccine portfolio includes Gardasil 9, which helps prevent cancers and other diseases caused by several types of human papillomavirus. The company takes potential treatments through laboratory research and clinical trials, then manufactures and sells approved products to drug distributors, hospitals, physicians and governments. Its animal health division sells medicines and vaccines to veterinarians, farmers and pet owners, while selected drug partnerships also earn shared profits or royalties. Founded in 1891, Merck is headquartered in Rahway, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Rahway, NJ
Founded
1891

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