Data Engineer (Databricks, Spark, ETL)

JMD Technologies Inc. is seeking a Data Engineer to design and optimize scalable data pipelines and support large-scale data processing initiatives. This role focuses on building efficient ETL workflows and leveraging distributed systems to drive data reliability and performance.

Responsibilities:

• Develop and maintain ETL pipelines for large-scale data processing
• Build solutions using Python and Apache Spark
• Implement and optimize data models and distributed computing frameworks
• Apply best practices in data structures , algorithms , and design patterns
• Collaborate with cross-functional teams to support data-driven initiatives

Requirements:

• 5–10 years of experience in data engineering or related field
• Strong expertise in Python, Apache Spark, and R
• Hands-on experience with ETL processes, data modeling, and distributed systems
• Solid understanding of software design patterns and algorithms
• Bachelor's degree in Computer Science, Computer Engineering, or related field