Data Engineer

November 21

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Yuno

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Fintech • Enterprise • SaaS

Yuno is a company that provides payment orchestration and infrastructure solutions on a global scale. Their technology empowers businesses to integrate over 300 payment methods, boosting acceptance rates and enabling seamless scaling of payment operations across multiple regions. Yuno focuses on providing a simplified payment process with features like smart routing, unified payment insights, auto reconciliation, and custom checkout options. They emphasize security and fraud management, ensuring safe transactions. Yuno facilitates global payouts and subscription management, making them an ideal partner for businesses looking to optimize their payment systems and increase revenue.

11 - 50 employees

💳 Fintech

🏢 Enterprise

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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 & DBT. • Verbal and written English fluency.

🏖️ 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