Description

You will build and maintain large-scale data processing systems. You own the development and optimization of data pipelines and ensure data integrity across the architecture.

Responsibilities

• Develop data processing pipelines using Python and Spark.
• Optimize Spark jobs for efficiency and scale.
• Maintain data integrity across big data architectures.
• Build and maintain large-scale data processing systems.

Required Skills

• 7+ years of professional experience in data engineering.
• Advanced proficiency in Python programming.
• Extensive experience with Spark programming.
• Bachelor's degree or equivalent experience in any field.

Key Skills

Education

Any Graduate