Description

You will lead data engineering efforts within an AWS-centric environment. You own the architecture and maintenance of serverless data solutions.

Responsibilities

• Develop and maintain Python applications and frameworks.
• Build and manage data lakes using AWS Glue, Athena, and Lake Formation.
• Implement serverless architectures using AWS Lambda and EventBridge.
• Manage data streams and storage using Kinesis, S3, and DynamoDB.
• Monitor system health and performance via CloudWatch and CloudFormation.

Required Skills

• 12+ years of experience in data engineering or software development.
• Expertise in Python application development.
• Proficiency with Pydantic models.
• Extensive experience with AWS services including S3, Lambda, and DynamoDB.
• Experience with AWS Glue, Athena, and Lake Formation for data lake management.
• Hands-on work with AWS Kinesis and EventBridge.
• Knowledge of AWS CloudFormation and CloudWatch.

Key Skills

Education

Not specified