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.