Description

Build and maintain data pipelines using AWS services and modern table formats.

Responsibilities

• Implement and manage data streaming workflows using Kafka.
• Develop serverless data processing logic with AWS Lambda and Glue.
• Manage data storage and retrieval using Iceberg table formats.
• Maintain data consistency across distributed databases.

Required Skills

• 5+ years of professional data engineering experience.
• Deep expertise in the AWS ecosystem, specifically Kafka, Glue, and Lambda.
• Hands-on experience with the Iceberg table format.
• Experience with HBase or DynamoDB.
• Any graduate degree.

Key Skills

Education

ANY GRADUATE