Description

You will build and maintain data pipelines and integrate machine learning workflows within an AWS environment.

Responsibilities

• Develop data engineering pipelines using Python and PySpark.
• Integrate APIs to ingest and move data across systems.
• Implement and support data services within AWS.
• Collaborate on Data and AI initiatives involving machine learning models.

Required Skills

• 5+ years of experience in Data Engineering.
• Proficiency in Python.
• Strong experience with PySpark.
• Hands-on experience with AWS data services.
• Solid expertise in API integration.
• Background in Data and AI workloads.
• Experience working with machine learning implementations.
• Bachelor's degree or equivalent graduate level education.

Key Skills

Education

Any Gradute