Data Engineer (Azure/Databricks)

TL;DR

Data Engineer (Azure/Databricks): Designing, building, and maintaining scalable data pipelines and platforms with an accent on Azure Databricks and Medallion Architecture. Focus on refactoring legacy code, building reusable data components, and ensuring high-performance data modeling for cross-functional analytics.

Location: Montevideo, Uruguay

Company

hirify.global is a premier AI services provider that aligns human expertise with artificial intelligence to deliver data-driven strategies and meaningful impact for clients.

What you will do

• Design, develop, and optimize end-to-end data pipelines using Azure Databricks.
• Refactor legacy code to improve maintainability and reusability across projects.
• Build modular, reusable code components to support diverse analytics journeys.
• Consolidate KPIs and metrics into standardized data structures.
• Maintain scalable data models to support current and future analytics needs.
• Ensure high standards of data quality, performance, and reliability.

Requirements

• 4+ years of experience in Data Engineering.
• Solid experience with Databricks and Apache Spark (PySpark).
• Strong proficiency in SQL and large-scale data processing.
• Experience with DBT for data transformation and modeling.
• Deep understanding of Medallion Architecture (Bronze, Silver, Gold).
• Experience with GitHub and version control workflows.

Nice to have

• AWS certifications.
• Experience with Snowflake.
• Knowledge of AI-driven data strategies.

Culture & Benefits

• Access to extensive learning paths, including Udemy Business and professional certifications.
• Mentorship programs and structured career development plans.
• Flexible working options to support work-life balance.
• Company-provided equipment.
• Travel opportunities for industry conferences and client meetings.