Description

You will design, implement, and optimize end-to-end data architectures on Google Cloud Platform.

Responsibilities

• Design and implement data architectures using BigQuery, Dataflow, Dataproc, and Pub/Sub.
• Develop data models, data pipelines, and ETL/ELT processes.
• Optimize data storage, processing, and retrieval for performance and cost efficiency.
• Ensure data security, privacy, and compliance using GCP IAM and best practices.
• Document technical decisions, data flows, and architectural designs.

Required Skills

• 5+ years of experience in data architecture or data engineering.
• Hands-on experience with GCP services including BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
• Proficiency in SQL, Python, and/or Java.
• Expertise in data modeling, data warehousing, and ETL/ELT pipelines.
• Strong understanding of IAM and data security on GCP.
• Degree in Computer Science, Engineering, or a related field.

Preferred Skills

• GCP Professional Data Engineer or Architect certification.

Key Skills

Education

Any Graduate