Key skills
AWSAzureCloudETLPythonAIMachine LearningData EngineeringSnowflakeDatabricks
About this role
Role Overview
- Support the planning and execution of data migration and integration initiatives
- Assist in the design, development, and maintenance of data pipelines and ETL workflows
- Work closely with data engineers and scientists to build and enhance machine learning models
- Contribute to the development and deployment of AI-driven applications and services
Requirements
- Bachelor's degree
- 3 years of professional experience in data engineering or a related technical field
- 1 year of hands-on experience building, maintaining, or supporting data platforms.
- Strong understanding of programming principles and data structures
- 3 years’ experience with Python
- Experience with AWS or Azure cloud platforms
- Experience developing ETL pipelines and familiarity with ETL frameworks
- Experience with Snowflake or Databricks
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- Python
Benefits
- Health insurance
- Professional development opportunities