Description

You will build and manage ETL pipelines and data architectures within an AWS environment.

This role is on-site.

Responsibilities

• Develop ETL scripts and manage job orchestration using AWS Glue.
• Migrate data from Sqoop to Glue.
• Design and maintain MongoDB data models and connectors.
• Build and maintain serverless applications using AWS services.
• Manage the Spark job lifecycle using EMR.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency with AWS Glue, including crawlers and orchestration.
• Hands-on experience with PySpark or Scala for Glue jobs.
• Strong knowledge of AWS IAM, S3, and CloudWatch.
• Experience with MongoDB data modeling.
• Understanding of EMR and Spark job lifecycles.
• Familiarity with DevOps practices.
• Proficiency with Git or SVN for version control.
• Bachelor's degree in any field.

Key Skills

Education

Any Graduate