Description

You will design and implement scalable data solutions on Google Cloud Platform.

This role is on-site.

Responsibilities

• Design end-to-end data solutions and develop data models for analytical and operational workloads.
• Build scalable ETL/ELT pipelines using Dataflow, Dataproc, and BigQuery.
• Implement data quality frameworks to ensure consistency, accuracy, and integrity.
• Write optimized Python code for data processing and orchestration tasks.
• Leverage GCP DevOps tools for CI/CD, infrastructure-as-code, and deployment automation.

Required Skills

• 10+ years of experience in Data Engineering or related roles.
• Deep expertise in Google Cloud Platform services: BigQuery, Dataflow, and Dataproc.
• Strong proficiency in Python for building data workflows and automation.
• Expertise in data modeling, including dimensional, relational, and NoSQL patterns.
• Experience with Cloud Composer, Cloud Storage, and Pub/Sub.
• Hands-on experience with GCP DevOps tools: Cloud Build, Terraform/Deployment Manager, and Cloud Monitoring.
• Proven ability to implement CI/CD pipelines and infrastructure-as-code.
• Solid understanding of data quality management and data governance.

Preferred Skills

• Experience with Apache Beam and Spark.
• GCP Professional certifications, such as Professional Data Engineer or Professional Cloud Architect.

Key Skills

Education

Bachelor's degree