Description

Build and maintain data infrastructure while supporting machine learning workflows through ETL and feature engineering.

Responsibilities

• Build and maintain ETL pipelines to move and transform data efficiently.
• Execute big data processing tasks using PySpark for large-scale data operations.
• Perform feature engineering to prepare datasets for machine learning models.
• Manage and optimize data workloads within Snowflake.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency in Python for data manipulation and scripting.
• Hands-on experience with PySpark for distributed data processing.
• Experience with Snowflake for data warehousing and management.
• Strong understanding of ETL processes and best practices.
• Demonstrated experience in Big Data processing environments.
• Ability to perform feature engineering for ML workflows.

Preferred Skills

• Bachelor's degree or equivalent experience in a technical field.

Key Skills

Education

Any Graduate