Description

You will build and manage large-scale data systems and processing pipelines. You will design architectures following established patterns and non-functional requirements to ensure system reliability and performance.

Responsibilities

• Develop and maintain heavy volume data processing systems and data platforms.
• Implement scalable solutions for data lakes and data warehouses.
• Apply best practices to ensure system reliability and performance.
• Design architectures following established patterns and non-functional requirements.
• Work with large-scale data platforms to support ML infrastructure.

Required Skills

• 5+ years of professional experience with Python.
• 5+ years of professional experience with Spark.
• 8-10 years of experience in big data, data lake, or data warehouse environments.
• Deep understanding of architectural patterns and heavy volume data processing.
• Proven ability to work with large-scale data platforms.
• Any Graduate degree.

Key Skills

Education

Any Graduate