AI-Driven Data Quality Engineer
6 days ago
We are seeking an experienced Senior Data Engineer to lead the development of high-quality data ingestion and validation processes from multiple upstream systems. The successful candidate will be responsible for designing and implementing scalable data quality validation systems, leveraging AI-enhanced quality frameworks to improve data accuracy and efficiency.
Key Responsibilities:- Data Quality Management
- Design and implement scalable data quality validation systems across multiple sources (e.g., Snowflake, Beeline).
- Develop AI-driven tools that identify anomalies, detect irrational transactions, and provide early insight into data discrepancies.
- 6–10 years of experience in data engineering, data quality, or analytics engineering roles.
- Proficient in Python, SQL, and cloud data platforms like Snowflake.
- Deep understanding of data pipelines, ETL/ELT processes, and data validation best practices.
- Experience with AI/ML in data quality (anomaly detection, NLP-driven validation, etc.).
The ideal candidate will have experience leading data modernization or AI transformation projects and prior exposure to dashboard adoption challenges and enterprise change management.
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