Description

Design and manage large-scale data pipelines and storage solutions within AWS.

Responsibilities

• Build and maintain ETL pipelines using Scala and Spark.
• Manage AWS services focused on data storage and data vending.
• Develop and optimize complex SQL queries and data models.
• Implement data governance and regulatory standards within data workflows.

Required Skills

• 8+ years of experience in data engineering.
• Expertise in Scala and Spark for ETL processes.
• Strong proficiency with AWS data storage and vending services.
• Advanced SQL skills, including query optimization and data modeling.
• Experience with data warehousing platforms.
• Knowledge of data governance and regulatory requirements.
• Bachelor's degree or equivalent graduate education.

Key Skills

Education

ANY GRADUATE