GCP Data Engineer
2 months ago
Responsibilities:
• Design, develop, and maintain data pipelines using GCP services such as Dataflow, BigQuery, and Pub/Sub.
• Implement and manage data warehouse solutions using BigQuery, ensuring data is stored securely and efficiently.
• Use Pub/Sub for real-time data ingestion and streaming analytics.
• Provision and manage GCP infrastructure using Terraform, ensuring best practices in IaC are followed.
• Optimize data storage and retrieval processes to enhance performance and reduce costs.
• Monitor and troubleshoot data pipeline issues, ensuring high availability and reliability of data services.
• Ensure data quality and integrity through robust testing and validation processes.
• Stay updated with the latest GCP features and best practices, integrating them into existing workflows.
• Document data workflows, infrastructure setups, and processes for future reference and knowledge sharing.
Requirements:
• Proven experience as a Data Engineer with a focus on GCP services.
• Strong proficiency in GCP services such as Dataflow, BigQuery, and Pub/Sub.
• Hands-on experience with Terraform for provisioning and managing GCP infrastructure.
• Proficiency in SQL and Python for data manipulation and analysis.
• Solid understanding of data warehousing concepts and ETL processes.
• Experience with real-time data processing and streaming analytics.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
Preferred Qualifications:
• Google Cloud Professional Data Engineer certification.
• Experience with other GCP services like Cloud Storage, Cloud Functions, and Cloud Composer.
• Familiarity with other IaC tools such as Ansible or Cloud Deployment Manager.
• Experience with containerization technologies like Docker and Kubernetes.
• Knowledge of data security and governance practices.
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