Description

You will build and manage data pipelines and cloud infrastructure within the AWS ecosystem.

Responsibilities

• Build and deploy AWS services using CloudFormation and CDK stacks in Python.
• Develop real-time data integration pipelines using Kinesis Data Streams and Firehose.
• Manage data lake architectures using AWS Glue, Athena, and Lake Formation.
• Integrate REST APIs using Python frameworks to support data workflows.
• Maintain and optimize DynamoDB and SQL databases.

Required Skills

• 5+ years of Python application development experience.
• 5+ years of experience in the Big Data ecosystem.
• 3+ years of hands-on experience with AWS services including Lambda, EventBridge, CloudWatch, S3, DynamoDB, Kinesis, CloudFormation, and Systems Manager.
• 3+ years of experience with AWS CDK (Python).
• 3+ years of experience with REST API integration using Flask, Django, or similar frameworks.
• 3+ years of experience managing Data Lakes using AWS Lake Formation, Glue, and Athena.
• 3+ years of experience with DynamoDB and SQL.
• 2+ years of experience with Kinesis Data Streams and Firehose delivery streams.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree