Lead the design, development, and deployment of data pipelines on GCP.
Drive migration of legacy data platforms and use cases to GCP, ensuring minimal disruption and optimal performance.
Build and manage data transformation workflows using DBT.
Orchestrate pipelines using Cloud Composer (Apache Airflow).
Develop robust, reusable code in Python for data processing and automation.
Implement Infrastructure as Code (IaC) using Terraform for scalable and repeatable deployments.
Collaborate with business and technology stakeholders to understand requirements and translate them into technical solutions.
Ensure data quality, governance, and best practices across all implementations.
Provide technical leadership, mentor team members, and guide design decisions.

10+ years of experience
Strong hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, etc.)
Proven experience in DBT for data transformation
Expertise in Cloud Composer / Apache Airflow for workflow orchestration
Advanced proficiency in Python
Solid experience with Terraform for infrastructure provisioning
Demonstrated experience in migrating legacy systems (on-prem or other cloud) to GCP
Strong understanding of data warehousing concepts and ETL/ELT frameworks
Experience in leading teams and managing end-to-end delivery
Preferred Qualifications: Experience in large-scale data transformation programs
Familiarity with CI/CD pipelines and DevOps practices
Exposure to data governance and regulatory environments (e.g., banking/financial services).

GCP Data Engineer

Key skills