Description

You will build and maintain big data processing pipelines.

Responsibilities

• Develop data processing workflows using Spark.
• Implement data storage and querying solutions with Hive.
• Write backend logic and ETL processes using Scala and Python.
• Optimize data pipelines for performance and throughput.

Required Skills

• 5+ years of professional experience in big data engineering.
• Expert proficiency in Spark.
• Strong command of Scala.
• Hands-on experience with Hive.
• Proficiency in Python.
• Experience working with large-scale data sets.

Key Skills

Education

Any Graduate