Business Data Engineer

TL;DR

Business Data Engineer: Developing and maintaining scalable data processing pipelines, ETL solutions, and data infrastructure for a high-performance payment orchestrator with an accent on data governance, big data technologies, and integration of multiple data sources. Focus on designing scalable architectures, ensuring data quality and compliance, and enabling data-driven business decisions.

Location: Remote (Latam) with presence in Colombia, Argentina, Chile, São Paulo, Lima, Paraguay

Company

hirify.global builds payment infrastructure enabling companies to participate in the global market with seamless payment integrations worldwide.

What you will do

• Implement data extraction from various sources including manuals, mails, SFTP, and APIs.
• Build and maintain scalable data processing pipelines and infrastructure for ETL and data storage.
• Collaborate on designing scalable architectures supporting data governance and compliance.
• Manage data warehousing and data lake solutions for efficient data storage and retrieval.
• Use big data technologies and distributed systems to process large datasets.
• Develop automated dashboards to monitor business performance and support data-driven decisions.

Requirements

• Remote work: must be located in Latin America (Colombia, Argentina, Chile, Brazil, Peru, Paraguay)
• 3+ years experience as Data Engineer or similar in data-intensive environments.
• Proficiency in Java, Python, SQL, Spark, DBT, and ETL processes.
• Experience with Data Lake House and big data technologies.
• Knowledge of data governance principles and data infrastructure design.
• English: verbal and written fluency required

Nice to have

• Experience with task automation and application integrations.

Culture & Benefits

• Competitive compensation and stock options.
• Fully remote work from anywhere in Latin America.
• Home office bonus and work equipment provided.
• Health plan coverage regardless of location.
• Flexible days off and professional growth courses.