Data Engineer

Summary

Join Yuno, a company building payment infrastructure for global market participation, as a Senior Data Engineer. You will contribute to a high-performing team, delivering parts of a production-ready product and co-designing a scalable architecture. This role involves implementing data extractions from various sources, building data processing pipelines, and maintaining data infrastructure. You will collaborate on developing a robust and scalable data infrastructure, implement data governance policies, and manage data warehousing and lake solutions. The position requires proficiency in Python and SQL, experience with ETL processes, and familiarity with big data technologies. Yuno offers competitive compensation, remote work options, a home office bonus, work equipment, stock options, health plan, flexible days off, and professional development courses.

Requirements

• Proven experience as a Data Engineer or similar role in a data-intensive 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
• Verbal and written English fluency

Responsibilities

• 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

Preferred Qualifications

Knowledge of Spark is a plus

Benefits

• 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