Data Pipeline Engineer

Role Summary

The Data Engineer will design, build, and optimize large-scale data pipelines and data platforms. This role is hands-on and plays a key part in translating architectural designs into production-ready solutions.

Key Responsibilities

• Build and maintain scalable batch and streaming data pipelines
• Optimize Spark jobs for performance and reliability
• Develop and manage data models and transformations
• Ensure data quality, reliability, and observability
• Collaborate with architects to implement target architectures
• Ensure smooth deployment to higher environments
• Review code, enforce engineering standards, and mentor junior engineers
• Support production deployments and incident resolution

Core Technical Skills

• Strong experience in Spark, PySpark and Python
• Strong experience in designing and maintain...