Data Engineer

3 semanas atrás

Buenos Aires Espírito Santo Brazil Yuno Tempo inteiro

Join to apply for the Data Engineer role at Yuno.

Remote, Latam
• Full Time
• Individual Contributor
• Experience: +2 years

Overview

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.

Responsibilities
  • Implement various data extraction methods (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 scripting
  • 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
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 & 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
Seniority level
  • Not Applicable
Employment type
  • Full-time
Job function
  • Information Technology
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