▷ Immediate Start: GCP Data Engineer

7 days ago


India EXL Full time

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.


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