Corporate BI operation Staff IT Engineer

Lenovo; Buenos Aires; Presencial; ARS 1.200.000 - 1.800.000; Jornada completa

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

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.

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.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.