Description

You will build and maintain data pipelines using Spark and cloud-native technologies on Google Cloud Platform.

Responsibilities

• Develop data processing workflows using Spark and Scala, Java, or Python.
• Manage and optimize data storage within NoSQL and MPP data platforms.
• Implement data solutions on Google Cloud Platform (GCP).
• Maintain data integrity and performance across HBase and MongoDB environments.

Required Skills

• 5 to 9 years of total professional experience.
• 3+ years of direct experience in Data Engineering.
• 3+ years of hands-on experience with Spark.
• 3+ years of experience working with Google Cloud Platform (GCP).
• Proficiency in at least one programming language: Scala, Java, or Python.
• Working knowledge of NoSQL databases.
• Experience with MPP data platforms.
• Hands-on experience with HBase or MongoDB.
• Any Graduate degree.

Key Skills

Education

Any Graduate