Description :

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 :

- Bachelors or Masters in Computer Science, Data Engineering, or related field.

- 58 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.