Description

You will build and maintain large-scale data and analytics solutions on Google Cloud Platform (GCP), integrating datasets from multiple sources and enabling efficient data exploitation and visualization.

This role is hybrid.

Responsibilities

• Design and build automated data pipelines using GCP services.
• Engineer data solutions using BigQuery, DataProc, Dataflow, Pub/Sub, BigTable, and Cloud Storage.
• Extract, load, transform, clean, and validate data to ensure quality and consistency.
• Implement DevOps practices and CI/CD pipelines for data infrastructure.
• Utilize Spark and Hive for data processing and analytics.

Required Skills

• 6+ years of experience in data engineering or related roles.
• Strong proficiency with Google Cloud Platform (GCP) services.
• Hands-on experience with BigQuery, DataProc, Dataflow, Pub/Sub, BigTable, and Cloud Storage.
• Proficiency in Spark and Hive for distributed data processing.
• Experience with DevOps principles and CI/CD implementation.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience with AI/ML solutions integration.

Key Skills

Education

Bachelor's degree