Walkin Interview for GCP Data Engineer-Leading MNC

Key Responsibilities

• Design and develop data pipelines on Google Cloud Platform (GCP).
• Build and maintain ETL/ELT workflows using Python.
• Work with BigQuery for data warehousing and analytics.
• Develop and manage data workflows using Cloud Composer / Apache Airflow.
• Implement data processing solutions using GCP services such as Cloud Storage, Dataflow, and Pub/Sub.
• Optimize data pipelines for performance, scalability, and reliability.
• Collaborate with data analysts, data scientists, and business teams to understand data requirements.
• Implement monitoring, logging, and troubleshooting for production data pipelines.
• Follow best practices for CI/CD, automation, and version control.

Mandatory Skills

• Strong experience with Google Cloud Platform (GCP).
• Proficiency in Python for data engineering and automation.
• Experience with BigQuery.
• Hands-on experience with Cloud Composer (Airflow).
• Knowledge of GCP services like Dataflow, Pub/Sub, Cloud Storage.
• Experience in ETL/ELT pipeline development.
• SQL expertise for data transformation and analysis.