Senior Data Engineer (AI & Data Engineering)

TL;DR

Senior Data Engineer (AWS/Databricks): Building and scaling a data and analytics foundation by designing and operating reliable cloud data pipelines with an accent on scalability and cost-effectiveness. Focus on implementing data quality checks, optimizing physical databases, and ensuring high-quality data delivery across the organization.

Location: Hybrid in Guadalajara, Mexico

Company

hirify.global is a global digital transformation firm focusing on AI and data engineering services to help organizations scale their data foundations.

What you will do

• Design and operationalize scalable, reliable, and performant cloud-based data pipelines.
• Build and maintain complex datasets that meet both functional and non-functional business requirements.
• Apply database management best practices, including logical data modeling and physical database optimization.
• Implement and enhance Data Quality checks to ensure accuracy and reliability of pipelines.
• Partner with Data & Analytics experts to continuously enhance platform capabilities and usability.
• Participate in on-call support rotations and optimize data delivery architectures.

Requirements

• 5+ years of experience designing and operationalizing data pipelines for large, complex datasets.
• 3+ years of experience with Python, PySpark, and AWS.
• Extensive hands-on experience with advanced SQL for data transformation and analysis.
• Proven experience transforming and processing data using Databricks.
• Experience using Git and CI/CD practices for platform development.
• Must be based in Guadalajara, Mexico for hybrid work.