Logo Synodex

[Remote] Senior Data Engineer – Real-Time & Distributed Systems (GCP)

Synodexvia Jobright
RemotoRemotoSêniorCLT7 dias atrás

Salário Estimado

R$ 15.180,00 - R$ 22.770,00

Tecnologias

NodePythonJavaGoGCPGitIA
0de 100

Regular

Score da Vaga

Descrição da Vaga

Note: The job is a remote job and is open to candidates in USA.


Innodata is a leading data engineering company that provides AI technology solutions to major technology and financial services companies.


They are seeking a Senior Data Engineer to design and optimize data pipelines and ensure data reliability and performance across distributed environments.


Responsibilities • 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
•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 Skills • 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
•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 • Proficiency in Go, Java, or Scala
•Experience with Kafka or Flume for streaming ingestion • Deep familiarity with the Google Cloud Platform ecosystem
•Experience with production monitoring, logging, and observability frameworks • Exposure to high-availability, multi-region deployments Company Overview
•Synodex APS is a digital data solutions firm that refines the process of turning complex medical into usable information data.

It was founded in 2009, and is headquartered in Ridgefield Park, New Jersey, USA, with a workforce of 51-200 employees.


Its website is http://www.synodex.com.

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ContratoCLT
LocalRemoto
RemotoSim
MoedaBRL
Publicada7 dias atrás
FonteJobright

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