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Corporate BI operation Staff IT Engineer

Lenovo -
Capital Federal, Buenos Aires

Postulate ahora

Detalles del empleo

Tiempo completo
Hace 22 horas

Descripción completa del empleo

General Information

Req #

WD00104023

Career area:

Information Technology

Country/Region:

Argentina

State:

Capital Federal

City:

CABA

Date:

Wednesday, August 19, 2026

Working time:

Full-time

Additional Locations:

Argentina - Capital Federal - CABA

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

About the Role

Data Intelligence Operations Engineer.

This position is based in Buenos Aires.

What You’ll Do

, including Cloud and Big data platform
issues to ensure data is delivered accurately and on time for business use
Address issues encountered by business users, including but not limited to data errors and logical inquiries
data platforms
Develop intelligent operations and maintenance tools using AI to improve operational efficiency

Requirements

Mandatory:

3-5 years of professional experience in cloud operations, with a strong focus on Microsoft Azure.
Familiarity with Big Data structure, know HIVE/SPARK/KAFKA technologies.
Familiarity with data engineering concepts, including ETL/ELT workflows, data lakes, and data warehouses.
Experience with monitoring and logging tools, such as Azure Monitor, Log Analytics, and Datadog.

Nice to have

2+ years of hands-on experience working with Databricks, including cluster management, data pipeline development, and performance optimization.
AIOps experience for data platform is preferred.

Personal Qualifications:

Bachelor's degree or higher in Computer Science, Logistics, or a related field.
Proficiency in English, both written and spoken, as the working language.
Strong sense of responsibility, and a collaborative spirit with excellent communication skills.

Additional Locations:

Argentina - Capital Federal - CABA

Argentina

Argentina - Capital Federal

Argentina - Capital Federal - CABA

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General Information

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