Data Engineer

Há 2 horas

São Paulo, São Paulo, Brasil Yuno Tempo inteiro

Join to apply for the Data Engineer role at Yuno .

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 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 Data Engineer, specialized in ETLs, enjoy solving complex problems with code, and are eager to learn new things, we are looking for you.

As a SR Data Engineer, you will be part of the team delivering different parts of our production-ready product, co-designing and implementing scalable architecture.

Your challenge at Yuno
  • Implement various extraction methods (manuals, emails, SFTP, APIs).
  • Build solutions for application integrations, task automation, and data automation using proven design patterns.
  • Design and build scalable data processing pipelines for large volumes of data.
  • Maintain infrastructure for data extraction, loading, transformation, and storage from multiple sources using custom scripts.
  • Collaborate to develop and maintain a robust data infrastructure.
  • Implement data governance policies to ensure quality, security, and compliance.
  • Manage and optimize data warehousing solutions.
  • Develop data lake solutions for diverse data types.
  • Utilize big data technologies for efficient data processing and analysis.
  • Work with distributed data systems for high data volumes.
  • Integrate data from multiple sources.
Skills you need Minimum Qualifications
  • Experience as a Data Engineer or similar role in a data-intensive environment.
  • Proficiency in Java/Python and SQL.
  • Experience with Data Lake House architecture.
  • Knowledge of data infrastructure design and management.
  • Understanding of data governance principles.
  • Experience with ETL tools and processes.
  • Familiarity with big data technologies and distributed systems.
  • Ability to integrate data from various sources.
  • Knowledge of Spark & DBT.
  • Fluent in English, both verbal and written.
What we offer at Yuno
  • Competitive compensation.
  • Remote work from anywhere.
  • Home Office Bonus to set up your workspace.
  • Work equipment.
  • Stock options.
  • Health plan regardless of location.
  • Flexible days off.
  • Courses for professional and personal growth.
Additional Details
  • Seniority level: Not Applicable.
  • Employment type: Full-time.
  • Job function: Information Technology.
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