Description

You will build and maintain data pipelines using modern cloud and distributed computing technologies.

This role is on-site.

Responsibilities

• Develop and optimize data processing workflows using Python and Spark.
• Manage and query large datasets within Snowflake and SQL environments.
• Implement and support data infrastructure on AWS.
• Ensure data integrity and performance across the data lifecycle.

Required Skills

• 8+ years of professional data engineering experience.
• Expertise in Python for data manipulation and automation.
• Hands-on experience with Apache Spark for distributed processing.
• Proficiency in SQL and working with Snowflake data warehouses.
• Experience managing cloud resources within AWS.
• Bachelor's degree or equivalent graduate-level education.

Key Skills

Education

Any Gradute