Overview
Senior Process Data Engineer responsible for building process data pipelines and object-centric data models, then applying machine learning and AI agents to process intelligence initiatives.
What you'll do
- Architect scalable ETL/ELT pipelines from SAP, Veeva, Appian, and Oracle systems.
- Design object-centric data models with custom entities and relationships.
- Translate business requirements into technical user stories within Agile Scrum delivery.
- Manage SDLC promotion across development, QA, and production environments.
- Develop process-aware AI agents, automated action flows, and LLM-based process copilots.
- Build Python or R machine learning models to predict delays, compliance risks, and bottlenecks.
- Apply IT policies, GxP standards, AI ethics guidelines, version control, and CI/CD practices.
What you'll need
- 7–11 years of experience in data engineering.
- Bachelor's degree in information technology, computer science, or a quantitative field.
- Expert-level SQL, data modeling, relational databases, and data warehousing experience.
- Hands-on experience with enterprise process mining platforms and multi-object graphing.
- Experience with Agile/Scrum, Jira, Confluence, Git, and Bitbucket.
- Python experience with pandas, scikit-learn, TensorFlow/PyTorch, and LLM API integrations.
- Understanding of Veeva, Appian, and SAP database schemas and APIs.
Nice to have
- Experience designing CI/CD pipelines for process data models and AI agents.
- Experience with digital twin architecture, business-to-technical data mapping, SAP ECC/SAP HANA, ServiceNow, and Veeva architecture.
Details
- Hybrid role with 3 days per week in the office and 2 days remote.
- Based at the Hyderabad Tech Center; candidates should live within commuting distance.
- Regular employee status.
- No travel required.
- Visa sponsorship is not available.
Read the full description and apply on the company’s own careers page.
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