Description

You will build and manage data pipelines and infrastructure within an AWS environment.

Responsibilities

• Build and maintain DBT pipelines using AWS Airflow.
• Design and implement scalable data models.
• Develop ETL processes using AWS Glue and other AWS data services.
• Manage data storage and retrieval within Amazon S3 and Snowflake.

Required Skills

• 5+ years of experience in data engineering.
• Expertise in writing complex SQL.
• Hands-on experience with Snowflake.
• Proficiency with Amazon S3.
• Experience with AWS Glue.
• Working knowledge of AWS data services.
• Strong understanding of data modeling principles.
• Experience implementing DBT pipelines via AWS Airflow.
• Any Graduate degree.

Key Skills

Education

Any Graduate