Data Engineer

TL;DR

Data Engineer: Building and maintaining scalable data pipelines for consumer intelligence platforms with an accent on data ingestion, transformation, and delivery. Focus on ensuring data quality, optimizing pipeline performance, and supporting complex data modeling efforts.

Location: Mexico City, Mexico

Compensation: MXN 35,000 - MXN 46,000 monthly

Company

hirify.global is the world’s leading consumer intelligence company, providing manufacturers and retailers with actionable insights into consumer buying behavior.

What you will do

• Build, maintain, and optimize ETL/ELT data pipelines for large-scale datasets.
• Develop scalable solutions for data ingestion, transformation, and delivery.
• Ensure data quality, validation, and reliability across all pipelines.
• Collaborate with stakeholders to translate business needs into technical data solutions.
• Debug and troubleshoot data issues across complex systems.
• Support data modeling efforts including star schema and dimensional models.

Requirements

• 2–4 years of experience in Data Engineering or related roles.
• Strong programming skills in Python and SQL.
• Experience with data pipelines and ETL processes.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.
• English proficiency required for working in a global environment.

Nice to have

• Experience with Spark or PySpark.
• Familiarity with orchestration tools like Airflow.
• Knowledge of DBT or similar transformation tools.
• Exposure to CI/CD or DataOps practices.

Culture & Benefits

• Flexible working environment.
• Access to LinkedIn Learning for professional development.
• Employee Assistance Program (EAP).
• Volunteer time off.