GCP Data Engineer

• Design, develop, and manage robust, scalable, and efficient data pipelines on GCP.
• Build and maintain data workflows using Apache Airflow for orchestration.
• Work with Google BigQuery for large-scale analytics and data storage.
• Leverage Google Cloud Dataflow (Apache Beam) for real-time and batch data processing.
• Ingest, transform, and analyze massive datasets (millions+ of records).
• Collaborate with data scientists, analysts, and other engineering teams to deliver reliable data solutions.
• Optimize data performance and troubleshoot data pipeline issues in production.
• Ensure data quality, integrity, and security across all data platforms.

• 4+ years of hands-on experience with Google Cloud Platform (GCP) services.
• Strong experience with BigQuery, Dataflow, and Airflow.
• Proficiency in Python or Java for data processing and pipeline development.
• Deep understanding of big data processing principles and distributed systems.
• Hands-on experience working with millions of rows/records in large-scale environments.
• Experience with data lake and data warehouse architectures.
• Strong problem-solving skills and ability to debug complex systems.

• Automating specific system operations to enhance efficiency and speed 
• Testing designs to find and fix mistakes and make system improvements 
• Evaluating and identifying the best cloud solutions in collaboration with engineering and development teams 
• Developing, establishing and implementing modular cloud-based applications 
• Locating, evaluating and fixing infrastructure risks and deployment problems 
• Periodically evaluating computer systems and offering suggestions for performance enhancements 
• Offering support and guidance to meet customer requirements 

Powered by JazzHR