Data Engineer - Google Cloud Platform

Role Overview :

The GCP Engineer will be responsible for designing, building, and operating scalable cloud-native data platforms on Google Cloud Platform. The role focuses on Big Query-based analytics, workflow orchestration, infrastructure automation, and containerized deployments using modern data engineering practices.

Key Responsibilities :

• Design, develop, and optimize BigQuery datasets, tables, views, and SQL queries.
• Build and manage data transformation pipelines using DBT.
• Develop and maintain Cloud Composer (Apache Airflow) DAGs.
• Provision and manage GCP infrastructure using Terraform.
• Develop and manage containerized workloads using Docker.
• Implement CI/CD pipelines for data and infrastructure deployments.
• Ensure data quality, governance, security, and cost optimization.
• Monitor pipelines and troubleshoot production issues.

Required Skills & Experience:

• Strong hands-on experience with Google Cloud Platform (GCP).
• Advanced BigQuery SQL and performance optimization.
• Terraform for Infrastructure as Code.
• Cloud Composer / Apache Airflow.
• dbt (models, tests, snapshots, documentation).
• Docker and containerized environments.
• Good Python and SQL skills.

Skill Requirements:

• Proficiency in Google BigQuery for data warehousing and analytics.
• Strong SQL skills for querying and managing large datasets.
• Advanced knowledge of Python programming language for data manipulation and analysis.
• Experience with Google Dataflow for real-time data processing and ETL pipelines.
• Strong problem-solving and analytical skills.
• Excellent communication and leadership abilities to effectively lead a technical team.