Description

You will build and maintain data pipelines and storage architectures in a cloud environment. You own the end-to-end development of ETL processes, data lakes, and processing workflows.

Responsibilities

• Develop and manage ETL processes to move data across systems.
• Design and implement data processing workflows for large-scale storage.
• Manage data within Snowflake and other cloud-based storage solutions.
• Build and maintain data lakes to support enterprise data needs.

Required Skills

• 5 to 7 years of experience in data engineering roles.
• Proficiency with Java.
• Hands-on experience with AWS.
• Strong SQL skills for data manipulation and querying.
• Proven experience with Snowflake.
• Experience designing and implementing ETL pipelines.
• Direct experience working with Data Lakes.
• Bachelor's degree or equivalent graduate qualification.

Preferred Skills

• Experience with Python.
• Working knowledge of Spark.

Key Skills

Education

Any Graduate