Description

Lead the design and implementation of data engineering and analytics solutions using Python and PySpark.

This role is on-site.

Responsibilities

• Build and operate large-scale data warehouses and data lakes.
• Design, code, and optimize ETL processes for low-latency streaming and processing.
• Refactor Python code to PySpark to improve scalability and performance.
• Ensure data quality, track data lineage, and improve data discoverability.
• Coordinate with development teams to define requirements and prioritize feature requests.

Required Skills

• 5+ years of experience in data engineering or backend development.
• Expertise in Python programming and PySpark.
• Experience building scalable data pipelines and ETL optimizations.
• Strong background in integrating data storage solutions and reprogramming databases.
• Proven ability to test and debug complex applications.
• Experience working within Agile and DevOps environments.
• Ability to coordinate projects and communicate effectively with senior leadership.
• Experience developing back-end components and integrating server-side logic.

Key Skills

Education

ANY GRADUATE