The client is looking for an AI/ML Data Engineer to build and optimize data pipelines and ETL processes, develop and maintain data lakes and warehouses, integrate data from multiple sources, support AI/ML model lifecycle, and ensure data quality for a long-term project.
Requirements
- Build and optimize data pipelines and ETL processes
- Develop and maintain data lakes and warehouses (Azure, AWS, GCP, or Snowflake)
- Integrate structured and unstructured data from multiple sources
- Support AI/ML model training, deployment, and monitoring
- Ensure data quality, integrity, and governance standards
- Collaborate with data scientists on feature engineering and model readiness
Responsibilities
- Build and optimize data pipelines and ETL processes
- Develop and maintain data lakes and warehouses (Azure, AWS, GCP, or Snowflake)
- Integrate structured and unstructured data from multiple sources
- Support AI/ML model training, deployment, and monitoring
- Ensure data quality, integrity, and governance standards
- Collaborate with data scientists on feature engineering and model readiness
Other
- Bachelor's degree in Computer Science Engineering or related field or equivalent experience
