Databricks Engineer (AI)

TL;DR

Databricks Engineer (AI): Design, build, and optimize large-scale data pipelines on Azure using Spark and Databricks with an accent on distributed data processing and modern data ingestion patterns. Focus on building fault-tolerant data computational pipelines, tuning queries, and performing root cause analysis.

Location: Aguascalientes, Guadalajara, Mexico City

Company

hirify.global is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.

What you will do

• Build and support highly available data and data pipeline capabilities.
• Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines.
• Provide consultation and lead the implementation of complex programs.
• Develop and maintain documentation relating to assigned systems and projects.
• Tune queries running over billions of rows of data.
• Perform root cause analysis to identify resolutions to software or business process issues.

Requirements

• 6+ years of experience in Big Data and Data Engineering.
• Strong expertise in Spark (PySpark) and Azure Databricks for large‑scale distributed data processing.
• Hands-on experience developing data pipelines and applying data ingestion patterns within Azure ecosystems.
• Proficiency with orchestration tools such as Azure Data Factory (ADF) or Apache Airflow.
• Advanced SQL skills, including performance tuning for large datasets.
• Fluent English communication skills, both written and verbal.

Culture & Benefits

• Encouragement for flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment.
• Game-changing programs to accelerate the growth of people and the development of their expertise.
• Excellent compensation and benefits.
• Career path, trainings and real growth opportunities.
• Excellent work environment and culture.
• Highly professional and collaborative teams.