Description

You will build and manage data infrastructure using PySpark and AWS.

Responsibilities

• Design and maintain big data pipelines and ETL processes.
• Develop data processing workflows using PySpark.
• Utilize AWS services for cloud-based data computing.
• Collaborate with cross-functional teams to implement data solutions.

Required Skills

• 5+ years of experience in data engineering roles.
• Proficiency in PySpark for large-scale data processing.
• Hands-on experience with AWS services.
• Strong programming skills in Python.
• Advanced knowledge of SQL.
• Experience designing and maintaining ETL pipelines.
• Bachelor's degree in Computer Science or a related field.

Key Skills

Education

Any graduate