Description

You will develop and maintain data pipelines using Python, SQL, and the Hadoop ecosystem. Your focus is on advanced SQL, data analysis, and hands-on development in Hadoop-based environments.

This role is on-site.

Responsibilities

• Build and optimize data processing workflows using Python and PySpark.
• Write complex, advanced SQL queries for data analysis and reporting.
• Manage and operate systems within the Hadoop ecosystem, including Hive.
• Integrate streaming data solutions using Kafka.
• Ensure code quality through strong coding practices and testing.

Required Skills

• 5+ years of professional experience as a Python Developer.
• Expert-level SQL and data analysis skills.
• Hands-on experience with PySpark and Hadoop.
• Proficiency with Hive for data warehousing.
• Experience with Kafka for streaming data.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Deep exposure to big data frameworks beyond core Hadoop.

Key Skills

Education

Bachelor's degree