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.