Data Quality Engineer

We are looking for a motivated and detail-oriented Data Quality Engineer to join a fast-growing tech company in the data analytics sector. In this role, you will contribute to building, operating, and improving automated data quality and observability controls, preventing data issues, and implementing scalable monitoring and anomaly detection workflows.

Responsibilities

• Design, implement, and maintain automated data quality and observability monitors using Monte Carlo.
• Configure monitoring for data freshness, volume, schema changes, distribution shifts, and statistical anomalies.
• Embed data quality checks into ingestion, transformation, and analytics pipelines.
• Investigate data quality alerts and perform root cause analysis using lineage and pipeline context.
• Collaborate with data science teams to monitor AI-critical datasets and features.
• Triage, prioritize, and resolve data quality incidents using defined...