Description

You will build and maintain scalable data pipelines and infrastructure for high-volume data processing.

Responsibilities

• Design and implement large-scale data processing systems using Hadoop and Spark.
• Develop and maintain real-time streaming applications with Kafka.
• Write high-quality, maintainable code in Scala.
• Monitor and optimize the performance of data pipelines and systems.

Required Skills

• 5+ years of experience in data engineering.
• Expertise in Hadoop and Spark.
• Strong proficiency in Scala programming.
• Hands-on experience with Kafka and streaming data processing.
• Experience with cloud platforms including AWS, GCP, or Azure.
• Degree in any graduate field.

Key Skills

Education

Any Graduate