Big Data Engineer

TL;DR

Big Data Engineer: Developing and maintaining ETL pipelines and data integration services for a next-generation AdTech platform with an accent on AWS cloud services, Python, and distributed data frameworks. Focus on designing scalable, high-performance data flows, troubleshooting production issues, and optimizing data processing for real-time advertising.

Location: Remote (Brazil, Colombia, Mexico, Latin America)

Company

hirify.global is a product company specializing in AdTech solutions, delivering innovative, high-load, and data-driven advertising technology products since 2008.

What you will do

• Develop and maintain ETL pipelines and data integration services using Python and SQL
• Work with AWS services (S3, DynamoDB, Lambda, Glue) and NoSQL databases
• Design, optimize, and validate data flows ensuring data quality
• Collaborate with senior engineers on architecture and performance improvements
• Troubleshoot production data issues and perform root cause analyses
• Contribute to continuous improvement of development practices and performance monitoring

Requirements

• 2-4 years of experience as a Data Engineer or Backend Developer
• Strong hands-on experience with Python and SQL
• Experience with AWS data services (S3, DynamoDB, Lambda, Glue)
• Familiarity with NoSQL databases and API integrations
• Basic understanding of PySpark or similar distributed frameworks
• Fluent English: Upper-Intermediate level or higher required

Nice to have

• Experience with Airflow or other orchestration tools
• Interest in big data performance tuning and cloud optimization

Culture & Benefits

• Diversity of domains and businesses
• Variety of technology stacks
• Health and legal support
• Active professional community
• Continuous education and growth opportunities
• Flexible schedule and remote work
• Outstanding offices available if chosen
• Sports and community activities