Description

You will design and maintain large-scale data processing solutions using Python on AWS.

This role is hybrid.

Responsibilities

• Design and implement data processing pipelines using Spark and EMR.
• Develop automation scripts and services leveraging AWS Lambda and Glue.
• Manage and interact with AWS data stores including S3, Redshift, and RDS.
• Build and maintain CI/CD pipelines using Git, Bitbucket, and Jenkins.

Required Skills

• 8+ years of professional experience in cloud development and data engineering.
• Expert proficiency in Python and SQL.
• Hands-on experience with Spark and EMR for big data workloads.
• Deep knowledge of core AWS services: S3, Lambda, Glue, Redshift, RDS, CloudWatch.
• Experience implementing and managing CI/CD workflows.
• Strong background in automation practices.
• Experience with Git, Bitbucket, and Jenkins.

Key Skills

Education

Any Graduate