Description

You will design and deliver cloud-based data solutions within an Agile environment.

Responsibilities

• Build and maintain ETL solutions using AWS Glue and Lambda functions.
• Manage cloud migrations and database transitions using AWS DMS.
• Develop and test code through rigorous unit and integration testing.
• Document technical designs and solution delivery processes.
• Coordinate work across US and UK time zones.

Required Skills

• 7+ years of Data Engineering experience.
• Proficiency in Python, PySpark, and SQL/NoSQL.
• Hands-on experience with AWS Serverless (Lambda, Step Functions, Event Bridge).
• Experience with AWS Glue, CloudWatch, CloudFront, and DMS.
• Knowledge of CI/CD, DevOps, and Liquibase.
• Experience with Containers and Docker.
• Familiarity with Agile, Scrum, and SAFe methodologies.
• Competency in Node JS and Chart JS.
• Strong understanding of cloud security and the software development life cycle.

Preferred Skills

• Experience building high-volume serverless solutions in AWS.
• Knowledge of big data tools including AWS Redshift, Hive, and Spark.
• Familiarity with front-end frameworks like Angular or React JS.
• Experience with BI platforms such as QuickSight, Looker, Tableau, or PowerBI.
• AWS Certification.

Key Skills

Education

Any Gradute