Quality Automation Engineer - Data

Data Quality Engineer

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
  
  
  

Technologies & Skills

• Databricks (PySpark, Delta Lake, SQL)
• Snowflake
• Azure Data Factory
• Informatica
• Teradata
• CI/CD (GitHub Actions, Azure DevOps)
• Cloud Platforms (Azure, AWS, GCP)
• Python
• SQL
• Data Governance
• Data Modeling
• Streaming (Kafka, Event Hub)
• Unity Catalog
  
  
  

Nice-to-Have Skills

• 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
• Strong 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.