Data Engineer: Real-Time Analytics & Scalable Pipelines

Walmart; Argentina; Vor Ort; ARS 132.725.744 - 265.451.488; Vollzeit

Zusammenfassung

Walmart Global Tech seeks a Data Engineer with backend development experience to join our Data and Customer Analytics team. You will design, implement, and improve analytics features within the Supply Chain data domain, building scalable pipelines and unlocking real‑time insights.

You’ll work with Spark, SQL, and cloud platforms (GCP/Azure), develop data models, and collaborate with stakeholders to drive ROI and cost savings across geographies.

Qualifikationen

• Bachelor’s degree in Computer Science and 2 years’ experience in software engineering or related field.
• Option 2: 4 years’ experience in software engineering or related field.
• Option 3: Master’s degree in Computer Science.

Aufgaben

• Create and maintain optimal data pipeline architectures.
• Develop standardized processes for data modeling, mining and production.
• Build custom software components and analytics applications.
• Utilize multiple programming languages and tools to integrate data systems.
• Recommend improvements to data reliability, efficiency and quality.
• Partner with business and engineering teams to define long‑term data platform strategies.
• Design and implement tools that enable analytics and data science teams to build and optimize solutions within Walmart ecosystem.
• Create training documentation and provide end‑user training on data models and related tools.
• Mentor less experienced engineers and support system troubleshooting activities.

Kenntnisse

Big Data

Apache Spark

Java/Scala/Python

SQL

Data visualization (Power BI/Tableau)

Cloud platforms (GCP/Azure)

Data modeling

Data warehousing/BI

Kafka/Core/Streaming

Airflow

Relational databases (MySQL/PostgreSQL

Generative AI awareness

Ausbildung

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Apache Airflow

Kafka

NoSQL technologies

Jobbeschreibung

Walmart Global Tech seeks a Data Engineer with backend development experience to join our Data and Customer Analytics team. You will design, implement, and improve analytics features within the Supply Chain data domain, building scalable pipelines and unlocking real‑time insights.

You’ll work with Spark, SQL, and cloud platforms (GCP/Azure), develop data models, and collaborate with stakeholders to drive ROI and cost savings across geographies.