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Challenge yourself. Grow.


Be our next Data Engineer 


What challenges will you have?


As Data Engineer, you will build business-critical, scalable, automaticity, flexible, and reuse data processing solutions; and intuitive and trustworthy data products that power data discovery through self-serve analytics driving product innovation.


What will you work on?


Data solutions development

  • Designs data models for Data warehousing (e.g. Redshift, Snowflake, etc.)
  • Designing and building data applications for collecting, storing, and analyzing data for data scientists and business analysts.
  • Assembling large, complex data sets that meet functional / non-functional business requirements.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using different technologies.
  • Creating new data validation methods and data analysis tools
  • Identifying, designing, and implementing internal process improvements to automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Improving the quality, reliability, accuracy, and consistency of our data.
  • Thinking and working agile, including automated testing, continuous integration, and deployment.


Business-Tech understanding

  • Be a bridge between the business analyst and tech, enabling insight that can empower better decision-making through data.
  • Works with business experts, data scientists, and data engineers to develop metrics and analytical approaches to understand nuance around business performance.


What will you bring?


The Data Engineer will have a background in data processing and software engineering to build high-quality, scalable data products. In addition, the Data Engineer knows how to manage data and shares the passion for continuously improving how we use data to improve our Data & Analytics Platform.


  • Experience in building data pipelines, with a strong sense of the entire user experience, not just the individual pieces.
  • Experience in at least one program language like Python, or Scala
  • Knowledge of big data technologies like Hive, Presto, Spark, Python, EMR, MongoDB, etc.
  • Understand Data Lifecycle and concepts such as lineage, governance, privacy, retention, anonymity, quality, etc.
  • Experience in managing cloud services like AWS, GCP.
  • Knowledge in deployments DataOps and MLOps framework.
  • Experience using SQL to transform data tables into meaningful data sources for business reporting.


Join us in becoming the best technology team in LATAM!

Área de trabajo: Test Engineer, Cloud, Data Warehouse, Software Engineer, Testing, Engineering, Technology

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