Hadoop Data Engineer

You will build and maintain large-scale distributed data systems.

Responsibilities

• Develop and maintain data pipelines using Spark and Scala.
• Manage and optimize data processing within Hadoop and MapR environments.
• Implement scalable data solutions to handle large datasets.
• Ensure reliability and efficiency of distributed storage and computation layers.

Required Skills

• 6+ years of relevant experience in data engineering.
• Strong proficiency with Hadoop ecosystem.
• Hands-on experience with Spark for distributed data processing.
• Expert-level programming skills in Scala.
• Demonstrated experience working with MapR.
• Bachelor's degree or equivalent graduate qualification.