Remote Platform Engineer — Big Data (Spark/Kafka)

BairesDev; Bogotá; A distancia; COP 281.171.000 - 437.377.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD compensation

Hardware provided

Flexible hours

Parental leave & holidays

Growth opportunities

Descripción de la vacante

BairesDev is seeking a Platform Engineer (Big Data) to design and operate large-scale data platforms that underpin analytics workloads. You will bridge infrastructure and data applications, ensuring performance, security, and reliability at scale.

The role emphasizes Hadoop ecosystem, Spark, Kafka, and distributed storage, with 100% remote work and USD compensation. Fluency in English is required for global collaboration.

Formación

• 4+ years in Platform/Big Data or Systems Engineering.
• Experience building and operating large-scale data platforms with Hadoop ecosystem.
• Proficiency in Java or Scala for Spark and Kafka applications.
• Hands-on experience with HBase, NiFi and Ozone; strong Linux tuning.

Responsabilidades

• Architect and maintain production-grade big data environments.
• Optimize Spark and Kafka for high-throughput, low-latency streams.
• Manage distributed storage and processing engines like HBase, NiFi, Ozone.
• Perform Linux system administration and performance tuning.
• Implement observability and monitoring to identify bottlenecks.
• Collaborate with teams to define platform standards and deployments.

Conocimientos

Platform Engineering

Big Data Engineering

Linux administration

Java/Scala

English proficiency

Herramientas

Apache Hadoop

Spark

Kafka

HBase

NiFi

Ozone

Descripción del empleo

BairesDev is seeking a Platform Engineer (Big Data) to design and operate large-scale data platforms that underpin analytics workloads. You will bridge infrastructure and data applications, ensuring performance, security, and reliability at scale.

The role emphasizes Hadoop ecosystem, Spark, Kafka, and distributed storage, with 100% remote work and USD compensation. Fluency in English is required for global collaboration.