Description

Build and maintain data infrastructure and ETL pipelines to support machine learning workflows.

This role is hybrid.

Responsibilities

• Build and maintain efficient ETL pipelines for data movement and transformation.
• Execute large-scale data processing tasks using PySpark.
• 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.

Preferred Skills

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

Key Skills

Education

Any Graduate