Description

You will build and maintain data infrastructure using Python and AWS.

This role is hybrid.

Responsibilities

• Develop ETL pipelines using Python and Spark.
• Manage data storage using SQL and NoSQL databases.
• Deploy and scale solutions on AWS.
• Collaborate directly with clients to define requirements.

Required Skills

• 6+ years of professional experience in data engineering.
• Strong proficiency in Python.
• Hands-on experience with Spark.
• Deep knowledge of AWS services.
• Proficiency in SQL and NoSQL databases.
• Proven track record of client-facing project work.

Key Skills

Education

Any Graduate