Company Overview:
At Codvo, software and people transformations go together. We are a global, empathy-led technology services company with a core DNA of product innovation and mature software engineering. We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do.
Data Engineer - Optimization Solutions
About the Role: Responsibilities: Design, build, and maintain robust and scalable data pipelines to support the development and deployment of mathematical optimization models.
Collaborate closely with data scientists to deeply understand the data requirements for optimization models.
This includes: Data preprocessing and cleaning
Feature engineering and transformation
Data validation and quality assurance
Develop and implement comprehensive data quality checks and monitoring systems to guarantee the accuracy and reliability of the data used in our optimization solutions.
Optimize data storage and retrieval processes for highly efficient model training and execution.
Work effectively with large-scale datasets, leveraging distributed computing frameworks when necessary to handle data volume and complexity.
Stay up to date on the latest industry best practices and emerging technologies in data engineering, particularly in the areas of optimization and machine learning.
Experience:
3+ years of demonstrable experience working as a data engineer, specifically focused on building and maintaining complex data pipelines.
Technical Skills - Advantageous (Not Required, But Highly Beneficial):
Additional Considerations: Industry Experience: While not a strict requirement, experience working in industries with a focus on optimization, logistics, supply chain management, or similar domains would be highly valuable.
Machine Learning Operations (MLOps): Familiarity with MLOps concepts and tools is increasingly important for data engineers in machine learning-focused environments.
