Description

You will build and maintain data solutions within AWS environments.

This role is on-site.

Responsibilities

• Architect and develop data pipelines using AWS services.
• Design and optimize relational and non-relational databases.
• Implement ETL/ELT processes using AWS Glue and Lambda.
• Manage data lakes and warehouses utilizing S3, Redshift, and Athena.
• Collaborate with data scientists and analysts to deliver data solutions.

Required Skills

• 5+ years of experience in Data Engineering.
• Expertise in AWS data services: Glue, Redshift, S3, Lambda, Athena.
• Proficiency in Python and PySpark for data processing.
• Mandatory experience with Airflow and AWS Step Functions.
• Strong SQL and database design knowledge (PostgreSQL, MySQL, Oracle).
• Experience with AWS DMS or SCT for large database migration.
• Familiarity with CI/CD pipelines and Infrastructure-as-Code (Terraform, CloudFormation).

Preferred Skills

• Bachelor's Degree in a related field.

Key Skills

Education

Any Graduate