Data Intelligence Operations Engineer - Azure & Big Data

Lenovo

Buenos Aires

Presencial

ARS 1.200.000 - 1.800.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Lenovo is seeking a Data Intelligence Operations Engineer based in Buenos Aires to drive cloud-based data platforms and analytics. The role focuses on ensuring timely, accurate data delivery for business needs across big data environments and introducing AI-driven maintenance tools to boost operational efficiency.

The candidate should have 3–5 years in cloud operations, strong Azure expertise, and experience with Hive/Spark/Kafka, ETL/ELT, data lakes and warehouses, plus observability tools like

Formación

  • 3–5 years of professional cloud operations experience, preferably with Azure.
  • Familiarity with Hive, Spark, and Kafka big data technologies.
  • Experience with ETL/ELT, data lakes, and data warehouses.
  • Experience with Azure Monitor, Log Analytics, and Datadog for observability.
  • English proficiency in written and spoken communication.

Responsabilidades

  • Oversee data intelligence operations in cloud and big data platforms.
  • Ensure data delivered accurately and on time for business use.
  • Resolve data issues for business users, including data errors and inquiries.
  • Develop AI-powered operations tools to improve efficiency.

Conocimientos

Azure
Big Data
ETL/ELT
Data Lakes
Data Warehouses
Monitoring
Datadog
Databricks
AIOps
English

Educación

Bachelor's degree in Computer Science
Bachelor's degree in Logistics

Herramientas

Hive
Spark
Kafka

Descripción del empleo

Lenovo is seeking a Data Intelligence Operations Engineer based in Buenos Aires to drive cloud-based data platforms and analytics. The role focuses on ensuring timely, accurate data delivery for business needs across big data environments and introducing AI-driven maintenance tools to boost operational efficiency.

The candidate should have 3–5 years in cloud operations, strong Azure expertise, and experience with Hive/Spark/Kafka, ETL/ELT, data lakes and warehouses, plus observability tools like

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