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Location: Costa Rica / Perú / México / Guatemala


  • Collaborate on the architectural design of the data platforms.
  • Make sure data sets meet functional and non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Track the performance and stability of the system and monitor the automated processes to keep it updated.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL relational databases.
  • Build analytics tools for the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Develop data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Support data transformation, data structures, metadata, dependency and workload management.


  • 1+ years of data engineering experience.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience with relational SQL and NoSQL databases.
  • Experience designing and architecting systems to meet high standards of reliability and ease of use.
  • Practical experience with Python and Pandas technologies for systems development and implementation of machine learning models.
  • Knowledge of big data tools: Hadoop, Spark, Kafka, etc.
  • Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Customer-first approach to problem-solving and an ability to see solutions through to completion even in the face of complexities or unknowns.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Strong understanding of data modeling, algorithms, and data transformation techniques.
  • Attention to detail in work and ability to identify ambiguities in specifications.
  • Exceptional written and verbal communication skills, especially when communicating trade-offs between technical approaches to non-technical colleagues.
  • Flexibility to work and maintain focus in an evolving environment.

If you are interested in this position,
please send your resume.

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