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 Overview
We are looking for an AI Data Engineer with 2–5 years of experience in building and supporting scalable data pipelines and cloud-based data solutions. The role will primarily focus on data engineering using GCP, Python, PySpark, SQL, and cloud data platforms, while providing opportunities to work with emerging AI and Generative AI use cases.
The ideal candidate should have strong data engineering fundamentals, hands-on experience with ETL/ELT pipelines,
and an interest in applying data engineering skills to AI-enabled solutions.
Key Responsibilities
• Develop and maintain ETL/ELT data pipelines for batch data processing and analytics workloads.
• Build data transformation solutions using Python, PySpark, and SQL.
• Work with Databricks to ingest, transform, process, and curate enterprise datasets.
• Integrate data from relational databases, APIs, files, and cloud storage.
• Support migration of datasets and pipelines from legacy or existing platforms to up-to-date cloud-based data platforms.
• Perform data validation, reconciliation, and quality checks to ensure accuracy and completeness of migrated and processed data.
• Develop and maintain datasets and data models used by reporting, analytics, and downstream applications.
• Work with Azure Data Lake and related Azure data services for storing and processing enterprise data.
• Trouble
📌 AI Data Engineer II (Bengaluru)
🏢 Ukg
📍 Bengaluru