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Data Quality Engineer
Job description
We are looking for a Data Quality Engineer to design and implement an Autonomous Data Quality Control Tower, building intelligent AI agents that monitor, detect, and resolve data quality issues across enterprise systems.
Responsibilities
Consult on and create the Autonomous Data Quality Control Tower Create and automate Data Quality AI agents, including DQ Designer, DQ Detective, DQ Impact, DQ Resolution, and DQ Prevention, with associated metrics and data checks Develop AI agents capable of answering key questions such as why quality is changing, what matters to the business, what should happen next, and how to stop recurrence Develop AI agents to control data quality by comparing source and target systems Enable orchestration across AI agents to support coordinated data quality monitoring Implement remediation actions through AI agents when data quality issues are detected Requirements 3+ years of experience in data quality engineering Expertise in Data Quality, SQL, and Databricks Proficiency in database management Familiarity with SAP HANA, SAP Datasphere, and SAP AI Joule Knowledge of Golden Path, Claude, and n8n English proficiency at B2 level or higher
Description copied from EPAM Systems's careers page. Read the full posting before you apply.
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