Description

You will design and implement data pipelines using Python and AWS services.

Responsibilities

• Build and maintain data engineering workflows using EMR, PySpark, and Glue.
• Manage data processing and storage across Redshift, Oracle, PostgreSQL, and Aurora.
• Develop serverless architectures using AWS Lambda and Step Functions.
• Optimize data movement and transformation processes within the AWS ecosystem.

Required Skills

• 10+ years of experience in data engineering or backend development.
• Strong proficiency in Python.
• Extensive experience with AWS cloud services.
• Hands-on expertise with EMR and PySpark.
• Experience managing AWS Glue and Redshift.
• Working knowledge of Oracle, PostgreSQL, and Aurora databases.
• Experience building serverless solutions with Lambda and Step Functions.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate