Description

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

Responsibilities

• Develop data processing workflows using PySpark and Airflow.
• Manage cloud resources across AWS services including S3, EC2, and ECS.
• Implement serverless logic using AWS Lambda and Fargate.
• Build and maintain APIs to support data accessibility.
• Configure IAM roles and permissions to ensure secure cloud operations.

Required Skills

• 5+ years of professional experience with Python.
• Hands-on experience with PySpark for large-scale data processing.
• Proficiency with AWS services: Redshift, S3, EC2, Athena, Neptune, ECS, Fargate, Lambda, EMR, and IAM.
• Experience orchestrating workflows with Airflow.
• Working knowledge of Docker for containerization.
• Experience developing and consuming APIs.
• Proficiency with JetBrains PyCharm.
• Degree in any graduate field.

Key Skills

Education

ANY GRADUATE