Senior Data Engineer

TL;DR

Senior Data Engineer: Building and scaling robust data solutions with an accent on high-performance pipeline development and reliable data transformation. Focus on implementing CI/CD, infrastructure-as-code, and delivering production-ready systems from concept to deployment.

Location: Must be based in LATAM

Company

hirify.global is a professional services firm focused on delivering robust data and software solutions.

What you will do

• Build, scale, and maintain robust data solutions to support critical business needs.
• Implement and optimize high-performance data pipelines for extraction, loading, transformation, and orchestration.
• Champion modern software engineering practices including CI/CD, infrastructure-as-code, and containerization.
• Collaborate with stakeholders to transform use cases into production-ready services.
• Implement rigorous testing and monitoring to ensure superior data quality and integrity.

Requirements

• Must be based in LATAM
• 5+ years of experience in data engineering or a related discipline.
• Bachelor's degree or higher in a STEM field.
• Expertise in Python and SQL.
• Proficiency with Databricks, PySpark, and dbt.
• Experience with workflow orchestration tools like Airflow or Dagster.

Nice to have

• Experience with large language models (LLMs), prompt engineering, RAG, and vector databases.
• Knowledge of machine learning principles, feature engineering, and knowledge graphs.