The role involves designing, developing, and implementing global data tools and user interfaces to support business requirements. The individual will build, test, and deploy ETL pipelines that feed data lakes and downstream systems. Responsibilities include developing and maintaining data models for reporting and analytics purposes. The position requires building interactive dashboards to provide actionable insights from processed data. Furthermore, the role entails implementing RESTful APIs and developing responsive frontend components. The individual will collaborate with stakeholders to translate requirements into technical specifications and enhance the performance and reliability of data pipelines and web applications.

The role requires strong experience with Python and PySpark, alongside proficiency in SQL for data extraction, transformation, and modeling. Candidates must possess hands-on experience building RESTful services with Flask and developing frontend components using Vue.js. Additionally, the ability to design and build dashboards with Power BI is necessary. A minimum B2 level of English proficiency is also required for the position.