Description

You will own the data engineering stack, building pipelines and cloud architecture to support customer data migrations and analytics.

This role is on-site.

Responsibilities

• Design architecture for workflows between front-end and OKTA, including SCIM connector implementation.
• Build data pipelines for customer migrations using AWS cloud services and ETL transformations.
• Develop Lambda functions using Terraform and deploy code via Jenkins.
• Automate data flows between EC2, databases, and OKTA using Glue and Terraform.
• Analyze customer information using CloudWatch logs and manage tasks via Jira and sprint retrospectives.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency with Python for data validation and analysis.
• Hands-on experience with AWS services including S3, SQS, SNS, and ECS.
• Experience with Redshift and DynamoDB for data storage and statistics analysis.
• Strong SQL skills using MySQL for data analysis.
• Experience with Alteryx for customer data analysis.
• Infrastructure as Code experience using Terraform.
• CI/CD and version control experience using Jenkins and Bitbucket.
• Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

Key Skills

Education

Any Graduate