Description

You design and implement large-scale data processing solutions, building scalable pipelines and managing Data Lake and Warehousing architectures.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines using Spark and Python.
• Design and manage Data Lake and Data Warehousing architectures.
• Optimize data storage and retrieval processes within Snowflake.
• Implement data processing workflows to support complex analytical requirements.

Required Skills

• 5+ years of experience in Big Data engineering.
• Expertise in Python programming.
• Strong proficiency with Apache Spark.
• Extensive experience with Snowflake.
• Deep understanding of Data Lake and Data Warehousing architectures.
• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree