Yakú Argentina

Data Engineer

• Architect, develop, and maintain scalable data pipelines and ETL workflows.
• Implement automated data quality checks and validation processes.
• Work closely with product managers, data analysts, and business stakeholders to gather and understand data requirements.
• Continuously monitor and optimize data systems for performance, scalability, and cost-efficiency.
• Diagnose and resolve data-related issues promptly.
• Maintain comprehensive documentation of data pipelines, ETL processes, and system architecture.
• Participate in design and code reviews to uphold high engineering standards.
• Stay abreast of emerging data engineering technologies, tools, and best practices.
• Provide guidance and mentorship to junior data engineers.

Senior Data Engineer