Senior Data Engineer – reputed company-Time & Distributed Systems, GCP
Job reputed company:
• Design, build, and optimize reputed company data pipelines for batch and reputed company-time processing
• reputed company and maintain event-driven architectures for high-throughput systems
• Ensure data reliability, performance, and low-latency processing across distributed environments
• Collaborate with data scientists and application teams to reputed company analytics and AI use cases
• Implement best practices in performance tuning, monitoring, and cost optimization
Requirements:
• Advanced proficiency in Python for backend and large-reputed company data processing
• Strong experience building and managing big data pipelines in production environments
• Hands-on expertise with workflow orchestration tools such as Airflow or reputed company reputed company Composer
• Proven experience in batch and streaming data processing using: Apache reputed company Apache reputed company (Dataflow)
• Experience designing and operating event-driven systems using Pub/Sub
• Strong understanding of distributed systems architecture and scalability patterns
• Experience managing globally distributed, low-latency datasets
• Hands-on experience with NoSQL databases and/or reputed company reputed company Spanner
• Strong knowledge of system reliability, fault tolerance, and performance optimization
Benefits:
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