Description

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

This role is hybrid.

Responsibilities

• Build scalable data pipelines and reusable components in AWS.
• Collaborate with product managers and architects to deliver data solutions.
• Diagnose development issues and participate in code reviews.
• Mentor junior team members and establish documentation guidelines.
• Provide subject matter expertise throughout the development lifecycle.

Required Skills

• 7+ years of Data Engineer experience.
• Proficiency in Python, SQL, and NoSQL.
• Hands-on AWS experience: Lambda, Glue, Step Functions, EventBridge, CloudWatch, CloudFront, 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.

Preferred Skills

• Experience designing high-volume serverless solutions in AWS.
• Knowledge of big data technologies like Redshift, Hive, and Spark.

Key Skills

Education

Any Gradute