Description

You will design and implement scalable backend systems for large-scale data processing.

Responsibilities

• Develop and maintain backend systems using Python and PySpark.
• Optimize system performance to handle large-scale data processing.
• Collaborate with cross-functional teams to define requirements and deliver solutions.
• Debug, troubleshoot, and resolve system issues and bottlenecks.
• Apply coding best practices to ensure maintainability and code quality.

Required Skills

• 5+ years of experience in data engineering or backend development.
• Strong proficiency in Python backend development.
• Hands-on experience with PySpark for data engineering tasks.
• Ability to debug and troubleshoot complex system issues.
• Experience managing and optimizing large-scale data processing.
• Any Graduate degree.

Preferred Skills

• Experience with Palantir Foundry for data management workflows.
• Familiarity with agile methodologies and development tools.

Key Skills

Education

Any Graduate