Role Overview
We are looking for a Data Quality Engineer to design and implement robust data quality frameworks. The ideal candidate will ensure data accuracy, consistency, and reliability across our data platforms.
Key Responsibilities
• Develop and maintain data quality checks and validation frameworks
• Collaborate with data engineers and analysts to identify and resolve data issues
• Monitor data pipelines for anomalies and inconsistencies
• Implement data profiling and cleansing processes
• Ensure adherence to data governance and compliance standards
• Automate data quality reporting and alerting mechanisms
• Contribute to continuous improvement of data quality practices
• Experience with ML pipelines (MLflow, Feature Store)
• Knowledge of visualization tools (Power BI, Tableau, Looker)
• Exposure to Graph databases (Neo4j) or RAG/LLM pipelines
• Containerization (Docker, Kubernetes)
• Basic front-end knowledge (React/Angular)
• Microservices (FastAPI/Flask)
Qualifications & Experience
• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
• 5–8 years of experience in data-related roles
• Solid problem-solving and analytical skills
• Clear communication and documentation abilities
• Experience working in cross-functional teams
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.