Description

You will design, build, and maintain large-scale data processing systems to handle massive datasets.

Responsibilities

• Design and build scalable data pipelines using Spark and Hive.
• Develop efficient systems to extract insights and patterns from large-scale data.
• Maintain data processing architectures to ensure stability and performance.
• Implement data extraction workflows to support large-scale analytics.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Java or Python.
• Hands-on experience with Apache Spark.
• Experience with Hive.
• Experience with NoSQL databases such as Redis or Couchbase.
• Practical knowledge of Apache Impala.
• Ability to design large-scale data processing systems.
• Any graduate degree.

Preferred Skills

• Knowledge of Collibra, Manta, or PKWare.

Key Skills

Education

ANY GRADUATE