Description

You will build and maintain scalable data pipelines and streaming architectures using Spark, Kafka, and Python.

This role is on-site.

Responsibilities

• Build and manage scalable data pipelines using Apache Spark and Python.
• Implement real-time data streaming solutions using Apache Kafka.
• Maintain and optimize Data Lake storage structures and integrity.
• Ensure data flow and quality across the engineering lifecycle.

Required Skills

• 4+ years of experience in data engineering roles.
• Proficiency in Python for data processing.
• Hands-on experience with Apache Spark.
• Experience implementing Apache Kafka for streaming.
• Direct experience working with Data Lake architectures.
• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate