Data Engineer for Data Science



About Trafilea

Trafilea is a global company that builds communities and transformative brands. We own the brands and take care of the entire customer journey, to deliver wow-worthy experiences that influence and empower millions of people globally.

Our culture is fast-paced and dynamic. We are data-driven enthusiasts, passionate about marketing, exponential technologies, and innovation.

We have over 300 hundred employees working around the world, connected by the same purpose and core values. Our support for this new way of working has led to being featured in Forbes and FlexJobs as one of the Top 25 Companies for Remote Workers.

We are looking for dynamic, dedicated, and committed individuals with a strong desire to grow, that can drive the brand forward on its truly exciting journey.

Our Brands: Shapermint & Truekind.

We are looking for a data engineer for our data science team, to build and maintain data pipelines and data model pipelines for new and existing products in the company’s ML platform, that will impact directly on the Trafilea’s growth. Must be passionate about data architecture, ML pipeline automation and on-cloud deployments to create scalable and reliable frameworks to ensure cost-effective and accurate data extraction, transformation and modeling pipelines.

_Expected outcomes & responsibilities

  • Maintain the current Machine Learning Platform and propose new optimizations and initiatives to improve reliability and overall robustness.

  • Development of new ETLs, using the current Python framework and proposing new improvements to it.

  • Maintain and improve the current Apache Airflow.

  • Carry out the correct monitoring of issues in the extraction of data, the volume of data transferred and the number of services with issues and propose improvements for efficient consumption of data through APIs.

  • Work side by side with the Data Scientist main Architect to create and ensure best practices and guidelines are being used properly on the Data Lake management.

  • Assess and communicate effectively the effort for required developments.

  • Maintain the real time alerting framework ensuring 100% availability.

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