Offer summary

Qualifications:

Proven experience as a Data Engineer or similar role in data-intensive environments., Strong proficiency in Python and SQL., Knowledge of data infrastructure design, management, and data governance principles., Experience with ETL processes, Data Warehouses, Data Lakes, and big data technologies..

Key responsibilities:

Implement various data extraction methods including APIs, SFTP, and manual processes.

Build and maintain scalable data processing pipelines and infrastructure.

Collaborate with the team to develop robust data solutions and ensure data quality and security.

Manage data warehousing and data lake solutions to support data analysis and integration.

Job description

Remote, Latam, Full Time, Individual Contributor, +2 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 highperformance 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 highperforming team!
If you’re a Data Engineer, specialized in ETLs 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 SR Data Engineer, you will be part of the team delivering the different parts of our productionready product, while codesigning and implementing an architecture that can scale up with the product and the company.

🟣 Your challenge at Yuno
• Implement any type of extraction ( Manuals, mails, SFTP, and Apis)
• Build solutions for application integrations, task automation and any relevant 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 scripted.
• 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.

🟣 Skills you need

Minimum Qualifications

• Proven experience as a Data Engineer or similar role in a dataintensive environment.
• Strong proficiency in Python and SQL.
• Knowledge of data infrastructure design and management.
• Familiarity with data governance principles and practices.
• Experience with ETL processes and tools.
• Proficiency in working with Data Warehouses or Data Lakes.
• Familiarity with big data technologies and distributed data systems.
• Ability to integrate data from multiple sources.
• Knowledge of Spark is a plus.
• Verbal and written English fluency.

🟣 What we offer at Yuno

• Competitive Compensation
• Remote work You can work from everywhere!
• Home Office Bonus We offer a 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