Data Engineer

TL;DR

Data Engineer: Designing, developing, and implementing end-to-end ETL and ELT pipelines for data ecosystems with an accent on complex query optimization and data transformation. Focus on building scalable data extraction solutions and maximizing the value of data assets through visualization tools like Looker and Power BI.

Location: Remote, must be based in Mexico

Company

hirify.global is a global measurement and data analytics company providing consumer intelligence and actionable insights to manufacturers and retailers worldwide.

What you will do

• Design, develop, and implement end-to-end ETL and ELT pipelines.
• Create and optimize complex queries and data transformation operations.
• Collaborate with stakeholders to define requirements and implement data extraction and reporting solutions.
• Support business functions in maximizing data value through visualization tools like Looker and Power BI.
• Establish and maintain data engineering best practices within the Label Insight domain.

Requirements

• Must be based in Mexico
• 3+ years of experience in a data engineering or reporting environment.
• Strong programming skills in Python and proficiency in SQL.
• Experience with modern data tools such as Snowflake, Airflow, and dbt.
• Knowledge of engineering best practices including CI/CD, testing, and version control.
• Understanding of relational and graph databases and data modeling.

Culture & Benefits

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