Business Data Engineer

Business Data Engineer – Yuno Remote, LATAM, Full Time, Individual Contributor, +3 years of experience.

Who We Are

At Yuno, we are building the payment infrastructure that enables all companies to participate in the global market. Founded by a team of seasoned experts in the payments and IT industries, Yuno provides a high-performance payment orchestrator. Our technology offers companies access to leading payment capabilities, allowing them to engage customers confidently and maintain global business operations with seamless payment integrations worldwide. Shape your future with Yuno We are orchestrating the best high‑performing team.

If you’re a Business Data Engineer, specialized in ETL and you enjoy solving complex problems with code, developing, and you are not afraid of learning new things, we are looking for you. As a Business Data Engineer, you will be part of the team delivering the different parts of our production‑ready product, while co‑designing and implementing an architecture that can scale up with the product and the company. Your challenge at Yuno Implement extraction from manuals, emails, SFTP, and APIs. Build solutions for application integrations, task automation, and data automation using proven design patterns.

Design and build data processing pipelines for large volumes of data that are performant and scalable. Build and maintain the infrastructure required for extraction, loading, transformation and storage of data from multiple data sources using custom scripts. Collaborate with the team to develop and maintain a robust and scalable data infrastructure to support our data needs. Implement and enforce data governance policies and best practices to ensure data quality, security, and compliance.

Manage and optimize data warehousing solutions for efficient storage and retrieval of data. Develop and maintain data lake solutions for storing and managing diverse data types. Use big data technologies and frameworks to process and analyze large datasets efficiently. Work with distributed data systems and technologies to handle high volumes of data.

Integrate data from multiple sources. Establish and maintain data governance frameworks, including metadata management, data lineage, cataloging, and access control to ensure consistent and trusted data. Design, develop, and maintain automated data pipelines and dashboards that enable stakeholders to monitor business performance and make data‑driven decisions. Minimum Qualifications Proven experience as a Data Engineer or similar role in a data‑intensive environment.

Strong proficiency in Java, Python, and SQL. Proficiency in working with Data Lake House. Knowledge of data infrastructure design and management. Familiarity with data governance principles and practices.

Experience

with ETL processes and tools. Familiarity with big data technologies and distributed data systems. Ability to integrate data from multiple sources. Knowledge of Spark and DBT.

Verbal and written English fluency.

Benefits

Competitive Compensation Remote work – You can work from everywhere Home Office Bonus – One‑time allowance to help you create your ideal home office. Work equipment. Stock options. Health Plan wherever you are.

Flexible days off. Language, professional and personal growth courses. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr