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!