GCP Data Engineer

Job Description:
Must Have- GCP Data Engineer with Banking/ Finance Institutions Experience
About the Role
We are seeking experienced Google Cloud Platform (GCP) Engineers to join our team in building a scalable and robust Model Monitoring Framework .

This solution will integrate data from diverse sources including Excel files , SAS datasets , and GCP-native services , with the target architecture fully hosted on Google Cloud Platform .
Key Responsibilities
Design and develop end-to-end ETL pipelines to ingest, transform, and load data from on-premises SAS systems, Excel files, and GCP sources.
Build scalable and secure data ingestion frameworks using GCP services such as Cloud Storage , BigQuery , Cloud Functions , and Dataflow .
Collaborate with data scientists and analysts to enable model monitoring , including drift detection, performance tracking, and alerting.
Implement data validation , quality checks , and audit trails across the pipeline.
Optimize pipeline performance and cost using GCP-native tools and best practices.
Automate workflows using Cloud Composer (Airflow) or Cloud Scheduler .
Ensure compliance with data governance, security, and privacy standards.
Required Skills & Qualifications
7+ years of experience in cloud engineering , with at least 5 years on GCP and Banking .
Strong proficiency in Python , SQL , and data engineering frameworks .
Hands-on experience with BigQuery , Cloud Storage , Pub/Sub , Dataflow , and Cloud Functions .
Experience integrating with SAS and handling Excel-based data ingestion .
Familiarity with model monitoring concepts and ML lifecycle management.
Knowledge of CI/CD pipelines , Terraform , or Deployment Manager is a plus.
Excellent problem-solving and communication skills.