Data Engineer - 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 :

(ref : hirist.tech)