Description

You will design and maintain large-scale data pipelines using AWS and modern table formats.

Responsibilities

• Build and manage data streaming architectures using Kafka.
• Develop serverless data processing workflows with AWS Glue and Lambda.
• Implement and optimize data storage using the Iceberg table format.
• Maintain NoSQL data layers within HBase and DynamoDB.

Required Skills

• 12+ years of professional data engineering experience.
• Deep expertise in AWS services, specifically Kafka, Glue, and Lambda.
• Hands-on experience with Iceberg table format.
• Practical experience with HBase.
• Practical experience with DynamoDB.
• Bachelor's degree or equivalent graduate-level education.

Key Skills

Education

Any Graduate