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Senior Data Engineer – Real-Time & Distributed Systems, GCP

Innodata Inc.via Remote Rocketship
RemotoRemotoSêniorCLT5 dias atrás

Salário Estimado

R$ 15.180,00 - R$ 22.770,00

Tecnologias

0de 100

Regular

Score da Vaga

Descrição da Vaga

Job Description:

Design, build, and optimize scalable data pipelines for batch and real-time processing
Develop 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 enable analytics and AI use cases • Implement best practices in performance tuning, monitoring, and cost optimization Requirements:
Advanced proficiency in Python for backend and large-scale data processing • Strong experience building and managing big data pipelines in production environments
Hands-on expertise with workflow orchestration tools such as Airflow or Google Cloud Composer • Proven experience in batch and streaming data processing using: Apache Spark Apache Beam (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 Google Cloud Spanner
Strong knowledge of system reliability, fault tolerance, and performance optimization Benefits:

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Informações

NívelSênior
ContratoCLT
LocalRemoto
RemotoSim
MoedaBRL
Publicada5 dias atrás
FonteRemote Rocketship

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