Description

You will build and maintain big data implementations within the Google Cloud Platform ecosystem, owning end-to-end data workflows from processing pipelines to storage optimization.

This role is on-site.

Responsibilities

• Develop and maintain data processing pipelines using Apache Spark.
• Manage and optimize data storage using CouchDB.
• Implement scalable data solutions on Google Cloud Platform.
• Execute end-to-end big data workflows.
• Optimize storage and processing efficiency within the GCP ecosystem.

Required Skills

• 7+ years of experience in big data engineering.
• Hands-on experience with Google Cloud Platform (GCP).
• Proficiency with Apache Spark for data processing.
• Experience working with CouchDB.
• Strong understanding of big data architectures.
• Ability to build and maintain large-scale data implementations.

Preferred Skills

• Experience with other NoSQL databases beyond CouchDB.
• Background in data storage optimization strategies.

Key Skills

Education

Any Graduate