Description

You will build scalable data pipelines and reusable components within an AWS cloud environment.

Responsibilities

• Collaborate with product managers, business analysts, and solutions architects to deliver data solutions.
• Write efficient code and build reusable components and libraries.
• Diagnose and remediate development issues while participating in code reviews.
• Mentor junior team members and develop guidelines for code documentation.
• Provide subject matter expertise throughout the development life cycle.

Required Skills

• 7+ years of Data Engineer experience.
• Proficiency in Python, SQL, and NoSQL.
• Hands-on experience with AWS services including Lambda, Glue, Step Functions, Event Bridge, CloudWatch, CloudFront, and DMS.
• Experience with AWS Serverless, Containers, and Docker.
• Strong knowledge of CI/CD, DevOps, and Liquibase.
• Experience with unit and integration testing.
• Familiarity with Agile, Scrum, and SAFE methodologies.
• Ability to work across US and UK time zones.
• Strong documentation and communication skills.

Preferred Skills

• Experience designing high-volume serverless solutions in AWS.
• Knowledge of big data technologies like Redshift, Hive, and Spark.
• Experience with dashboard platforms such as QuickSight, Looker, Tableau, or PowerBI.
• Knowledge of front-end technologies like Angular or React JS.
• AWS Certification.

Key Skills

Education

Any Gradute