Create, enhance, and manage scalable data platforms and pipelines leveraging AWS technologies

Develop and refine data ingestion methods to improve data reliability and system efficiency

Produce clean, maintainable Python code adhering to coding best practices

Set up and administer AWS infrastructure components such as ECS, RDS, IAM, CloudWatch, VPC, Serverless, Glue, DynamoDB, EMR using Terraform

Oversee, diagnose, and automate workflows for data processing

Maintain and update documentation and knowledge repositories to facilitate team synergy

Promote AI technology integration and Agile methodologies within the group

Guide and mentor junior engineers to support their growth

Bachelor’s degree in Computer Science or related discipline, or equivalent experience

5+ years of experience in enterprise cloud application development with emphasis on AWS and Terraform

Advanced proficiency with AWS data services including Glue, Athena, S3, ETL/ELT, Python, and infrastructure as code

Excellent problem-solving, troubleshooting, and team collaboration abilities

Proven track record mentoring junior engineers and thriving in Agile environments

Strong communication skills in English (B2 level or higher)

Flexibility to work varying hours up to 11 PM EST

Hands-on experience with AWS Lambda, DynamoDB, ECS, and RDS

Knowledge of monitoring and analytics platforms such as New Relic, Splunk, Cribl Stream, and Metabase