Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

Role Summary
We are seeking a Principal Data Engineer, ML/AI Platform to lead the design, development, and governance of scalable data solutions that power machine learning, AI, and GenAI use cases on our GCP Cloud Data Platform. This role will serve as a senior technical leader responsible for building robust data foundations for analytics, data science, and production ML systems.





The ideal candidate combines deep cloud data engineering expertise with practical experience supporting teams of Data Scientists and ML Engineers. They understand how to design reliable, high-quality, cost-productive data pipelines and data products that enable model training, batch and online inference, feature generation, experimentation, and monitoring in cloud-native environments, preferably Google Cloud Platform.

Essential Duties & Responsibilities
Architect and Lead ML-Ready Data Solutions
• Design end-to-end data architectures on GCP using services such as BigQuery, GCS, Dataproc, Composer, Dataform, Data Fusion, and related cloud-native tooling.
• Build and standardize scalable batch and near-real-time data pipelines that support:
o model training datasets
o feature engineering workflows
o batch and online inference use cases
o analytics and operational reporting
• Define reusable patterns for data ingestion, transformation, quality validation, metadata capture, l

📌 Principal Data Engineer (Bengaluru)
🏢 Ukg
📍 Bengaluru