Data Engineer
EPAM Systems
About The Position
We are seeking a Data Engineer to join a team developing an MLOps platform that automates machine learning model development, deployment, and feature engineering. The featureOps component of the platform leverages Azure Databricks, Azure Data Factory, and Azure DevOps to build a CI/CD pipeline that feeds the Databricks Feature Store, with generated features used for ML model development in Model Lab.
Requirements
- 2+ years of experience working with PySpark
- Strong background in Data Science core skills
- Proficiency in feature engineering and machine learning pipeline development
- Experience migrating data pipelines to cloud environments
- English proficiency at B2 level or higher
Nice To Haves
- Familiarity with MLflow and Docker
- Knowledge of Azure Kubernetes Services, Azure Data Factory, and Azure Databricks
- Understanding of ML model deployment practices
Responsibilities
- Migrate existing Spark feature engineering pipelines to Azure
- Collaborate with the team to identify and develop a forecasting model
- Support the deployment of the developed machine learning model to production
- Contribute to the design and development of the CI/CD pipeline feeding the Databricks Feature Store
- Work closely with Data Scientists and engineers to align feature engineering with ML model requirements
- Ensure the reliability and scalability of data pipelines across the platform
- Troubleshoot and optimize existing Spark-based workflows during migration
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
