Azure Data Engineer

Sealed Air; Americas; Presencial; MXN 1.216.333 - 1.650.738; Jornada completa

Descripción de la vacante

Sealed Air is seeking a Fullstack Data & AI Developer in Mexico, focusing on building a modern data platform with Microsoft Fabric. Key responsibilities include developing scalable data pipelines, implementing medallion architecture, and collaborating with analytics teams to deliver insights. Ideal candidates should possess strong programming skills in Python, PySpark, and SQL, with experience in the Azure ecosystem. The role promises an opportunity to work on innovative data solutions in a diverse environment.

Formación

• Strong programming skills in Python, PySpark, and SQL are essential.
• Experience building and optimizing data pipelines is necessary.
• Familiarity with medallion architecture and data modeling concepts is required.

Responsabilidades

• Build and maintain scalable data pipelines using Microsoft Fabric.
• Implement and evolve medallion architecture for trusted data.
• Design and deliver analytics-ready datasets with Power BI.

Conocimientos

Strong programming skills in Python

Strong programming skills in PySpark

Strong programming skills in SQL

Experience with Azure ecosystem

Familiarity with Power BI

Understanding of CI/CD practices

Herramientas

Microsoft Fabric

Data Factory

Synapse

Databricks

Descripción del empleo

What will you do as a Fullstack Data & AI Developer (Microsoft Fabric) at Sealed Air?

As part of our Enterprise Data & Analytics team, you will help build a modern, enterprise-scale data platform leveraging Microsoft Fabric. This is a hands‑on, execution‑focused role where you will work across the full data lifecycle—from ingestion and transformation to analytics and business consumption—using medallion architecture principles (Bronze/Silver/Gold).

You will combine data engineering and analytics capabilities to deliver high-quality, reliable data solutions, while leveraging AI‑assisted development and modern cloud technologies to accelerate delivery. This role requires a self‑starter mindset, with the ability to work directly with business stakeholders, define solutions, and drive outcomes with minimal supervision.

• Build and maintain scalable data pipelines using Microsoft Fabric (Lakehouses, Dataflows, Notebooks)
• Implement and evolve medallion architecture (Bronze, Silver, Gold layers) for reliable and trusted data
• Develop efficient data transformations using Python, PySpark, and SQL with a focus on performance and readability
• Ingest and integrate data from multiple sources (APIs, databases, files, structured and unstructured data)
• Collaborate with business and analytics teams to translate requirements into data solutions and insights
• Design and deliver analytics‑ready datasets, including semantic models and Power BI reporting assets
• Leverage AI‑assisted development tools (e.g., Copilot or similar) to improve speed and productivity
• Monitor, optimize, and continuously improve data pipelines, ensuring performance, reliability, and scalability

What do you need to succeed?

• Strong programming skills in Python, PySpark, and SQL
• Solid experience with modern data platforms within the Azure ecosystem (e.g., Data Factory, Synapse, Databricks, Microsoft Fabric)
• Hands‑on experience building and optimizing data pipelines and data transformation workflows
• Understanding of data modeling concepts and medallion architecture principles
• Experience working with notebooks and distributed data processing frameworks
• Ability to integrate data from diverse sources (APIs, databases, flat files, streaming or batch data)
• Familiarity with Power BI, semantic models, or analytics layer development
• Experience leveraging AI tools (e.g., Copilot, Claude, or similar) in development workflows
• Understanding of CI/CD practices, version control, and modern development standards

Sealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws.