Senior Data Engineer - BI




Job description

  • Contribute to the hiring and training of engineers within the managed team;
  • Assure the collaboration of managed team across different engineering teams (inside and outside of the domain) and adherence to the defined global engineering best practices;
  • Design and build scalable & reliable data pipelines (ETLs) for our data platform
  • Constantly evolve data models & schema design of our Data Warehouse to support self-service needs
  • Work cross functionally with various teams, creating solutions that deal with large volumes of data.
  • Work with the team to set and maintain standards and development practices;
  • Be a keen advocate of quality and continuous improvement;


  • You have experience as a professional with solid technical background building and maintaining data pipelines in a custom or commercial ETL tool (eg. SSIS, Talend, Informatica) (Airflow is a plus);
  • You have experience working in a Data Warehouse environment with varied forms of data infrastructure, including relational databases, Hadoop, and Column Store; 
  • Expert in creating and evolving dimensional data models & schema designs to improve accessibility of data and provide intuitive analytics;
  • Basic experience and knowledge of cloud environments (eg. AWS, GCP, Azure);
  • Expert in SQL;
  • Proficient worker in a Hadoop/BigData ecosystem (HDFS, Hive);
  • You are proficient in one of the following programming languages: C#, Java, Python;
  • Proficient worker in distributed computing (Spark);
  • You have experience working with a BI reporting tool (eg. Tableau, QlikView, PowerBI, Looker);
  • Proficient applier of continuous delivery principles: version control, unit and automated tests;
  • You are fluent in English, both written and spoken;
  • You have good analytical and problem solving skills, the ability to work in a fast moving operational environment and you are enthusiastic and with a positive attitude;

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