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Senior Data Engineer

hace 2 meses


Xico, México Pinterest A tiempo completo

About Pinterest

Pinterest is a leading online platform where millions of people come to find new ideas and inspiration every day. Our mission is to help people discover and create a life they love. In this role, you will be part of the Business Intelligence and Information Infrastructure team, which builds data solutions to address the most pressing data challenges faced by our analysts, data scientists, and executives.

Job Summary

We are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will work closely with key business and product leads, analysts, and data scientists to understand business domains and leverage data to drive business decisions. You will engage with fellow engineers to develop better data platforms, making it easy and efficient to produce data and derive insights.

Key Responsibilities

  • Translate business drivers and analytical use cases into data products
  • Explore new technologies and techniques to solve business problems creatively
  • Design, implement, and maintain pipelines that produce business-critical data reliably and efficiently using cloud technology
  • Collaborate with multiple teams from Product, Engineering, and Business to produce relevant data solutions

Requirements

  • 5+ years of experience with big data technologies (Hadoop, Hive, Presto, Spark, SparkSQL), scripting languages (Python), and data visualization tools (Tableau)
  • Hands-on experience in principled data warehouse design, data visualization, and data pipeline design and development
  • Great communication skills to directly communicate with senior business leaders, embed yourself with business teams, and present solutions to business stakeholders
  • Experience in working independently and driving projects end-to-end
  • Strong analytical skills

About You

We are looking for a highly motivated and experienced Data Engineer who is passionate about data quality and driving business decisions with data. If you have a strong background in big data technologies, data visualization, and data pipeline design, and are looking for a challenging role that will allow you to grow as a professional, we encourage you to apply.