Data Engineer

Há 2 dias

Guarapari, Espírito Santo, Brasil Yuno Tempo inteiro

Join to apply for the Data Engineer role at Yuno.Remote, Latam
• Full Time
• Individual Contributor
• Experience: +2 yearsOverviewAt 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.ResponsibilitiesImplement various data extraction methods (manuals, emails, SFTP, and APIs)Build solutions for application integrations, task automation and data automation using proven design patternsDesign and build data processing pipelines for large volumes of data that are performant and scalableBuild and maintain the infrastructure required for extraction, loading, transformation and storage of data from multiple data sources using custom scriptingCollaborate with the team to develop and maintain a robust and scalable data infrastructure to support our data needsImplement and enforce data governance policies and best practices to ensure data quality, security, and complianceManage and optimize data warehousing solutions for efficient storage and retrieval of dataDevelop and maintain data lake solutions for storing and managing diverse data typesUse big data technologies and frameworks to process and analyze large datasets efficientlyWork with distributed data systems and technologies to handle high volumes of dataIntegrate data from multiple sourcesQualificationsProven experience as a Data Engineer or similar role in a data-intensive environmentStrong proficiency in Java/Python and SQLProficiency in working with Data Lake HouseKnowledge of data infrastructure design and managementFamiliarity with data governance principles and practicesExperience with ETL processes and toolsFamiliarity with big data technologies and distributed data systemsAbility to integrate data from multiple sourcesKnowledge of Spark & DBTVerbal and written English fluencyBenefitsCompetitive CompensationRemote work - You can work from everywhere
Home Office Bonus - We offer a one time allowance to help you create your ideal home officeWork equipmentStock optionsHealth Plan wherever you areFlexible Days offLanguage, Professional and Personal growth coursesSeniority levelNot ApplicableEmployment typeFull-timeJob functionInformation Technology
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