onsite
Data Quality Engineer - MediaRadar
Software Engineer
Design and implement data quality frameworks for large‑scale advertising intelligence pipelines, using Python, SQL, and cloud services to ensure clean, reliable data for analytics and AI applications.
About the role
Key Responsibilities
- Develop and maintain automated data quality tests and monitoring for high‑volume ad‑tech data pipelines.
- Design ETL processes and data validation rules using Python, SQL, and Airflow to detect anomalies, duplicates, and schema drift.
- Collaborate with data engineers, product managers, and analysts to define data quality metrics and service level objectives.
- Investigate and resolve data quality incidents, performing root‑cause analysis and implementing preventive fixes.
- Implement data profiling, lineage, and documentation to support downstream analytics and AI models.
Requirements
- 3+ years of experience in data quality engineering, data validation, or related data‑ops roles.
- Proficiency in Python and SQL for building test suites, data pipelines, and reporting.
- Hands‑on experience with cloud platforms (AWS) and orchestration tools such as Airflow or similar.
- Strong understanding of ETL concepts, data modeling, and data governance best practices.
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonsqlawsairflow