Senior Manager, Data Engineering

About the job

This position is responsible for the operation of a department. An individual in this position will be expected to perform additional job related responsibilities and duties as assigned and/or necessary.

What will you do?

• Ability to Translate Business Problems into Data Solutions
• Converts complex business needs into analytical, data‑driven, or mathematical solutions.
• Selects the correct methodologies, tools, and approaches to solve the problem.
• Strong Business Context Understanding
• Understands industry factors, cross‑functional business domains, and key metrics.
• Builds business cases with ROI and provides recommendations for complex issues.
• Data Source Identification Expertise
• Knows where data resides (SQL, NoSQL, distributed stores) and how to assess data quality.
• Identifies the correct data source aligned to requirements and SLAs.
• Data Transformation & Integration (ETL/ELT)
• Hands‑on experience with ETL, batch/streaming processes, APIs, crawlers.
• Builds pipelines and preprocesses data (integration, normalization, feature extraction).
• Advanced Data Modeling Skills
• Designs conceptual, logical, and physical data models.
• Uses modeling tools (e.g., Erwin) and defines relational structures, keys, and procedures.
• Optimizes and evaluates existing models.
• Code Development & Testing
• Strong coding in SQL, Java, C++, Python.
• Writes test cases, builds POCs, validates solutions, and deploys to production.

Experience:

• Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field.
• 5 years’ experience in software engineering or related field. Option 3: Master's degree in Computer Science and 1 year’s experience in software engineering or related field.
• Preferred Qualifications Master’s degree in Computer Science or related field and 3 years' experience in software engineering or related field.
• 5 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Leadership Expectations:

• Respect the Individual
• Act with Integrity
• Serve Our Customers and Members

En Walmart de México y Centroamérica estamos comprometidos con una cultura de pertenencia, por lo que buscamos incorporar el mejor talento basándonos en competencias, habilidades y potencial; no discriminamos por ningún motivo, incluyendo género, edad, origen étnico, apariencia física, estado civil, condiciones de salud por VIH o cualquier enfermedad, situación socioeconómica, discapacidad, orientación sexual, identidad o expresión de género por ello durante el proceso de atracción y selección no solicitaremos información personal, fotografías o análisis clínicos de ningún tipo. Los datos personales del candidato o candidata no son relevantes durante el proceso de entrevista ni para la selección final. En Walmart de México y Centroamérica nos comprometemos con nuestros/as asociados/as para que encuentren día a día en el trabajo un ambiente de respeto, libre de discriminación y acoso sexual.

En Walmart estamos trabajando por contar con mayor accesibilidad, en caso de que necesites algún ajuste razonable por favor compártelo con el equipo de Reclutamiento.