Description

You will design, develop, and optimize scalable data processing solutions using Python and Apache Spark.

This role is on-site.

Responsibilities

• Design and build high-performance data processing applications leveraging Apache Spark.
• Write clean, reusable, and efficient Python code for data engineering initiatives.
• Analyze complex datasets to extract actionable insights and identify trends.
• Manage the deployment and continuous monitoring of data pipelines in production.

Required Skills

• 7 to 9 years of experience in data processing with Python.
• Proven ability to design and optimize scalable data pipelines.
• Experience implementing efficient data transformations and aggregations.
• Strong troubleshooting skills for ensuring data processing job reliability.
• Experience working with large and complex datasets.
• Bachelor's degree in a relevant technical field.

Key Skills

Education

Bachelor's degree