onsite
Senior Data Quality Engineer - Advisor360 Llc
Software Engineer
Lead data quality initiatives, designing and implementing robust validation frameworks using Python and SQL to ensure accuracy, consistency, and compliance across enterprise data pipelines.
About the role
Key Responsibilities
- Design, develop, and maintain automated data quality checks and validation rules across multiple data sources and pipelines.
- Collaborate with data engineers, analysts, and business stakeholders to define data quality metrics, standards, and governance policies.
- Implement data profiling, anomaly detection, and root‑cause analysis to identify and remediate data quality issues.
- Integrate data quality monitoring into CI/CD workflows, ensuring continuous delivery of clean, reliable data.
- Document data quality processes, create dashboards, and provide actionable insights to support data-driven decision making.
Requirements
- 5+ years of experience in data quality engineering or related roles.
- Proficiency in Python, SQL, and ETL tooling (e.g., Airflow, dbt).
- Strong understanding of data governance, metadata management, and data profiling techniques.
- Experience with data quality platforms or libraries (e.g., Great Expectations, Deequ).
- Excellent analytical, problem‑solving, and communication skills.