• Specializations
    Data Engineering
  • Location
    Kyiv, Ukraine
  • Job Type
  • Created
    11 days ago
  1. Project & Team

    TinyTap is a free, award-winning platform for creating personalized apps & playing thousands of others created daily by superstar educators and experts. With simple, interactive tools such as Q&A, readings, soundboards, puzzles, and more, anyone can create beautiful games to teach and learn anything. Available for free on iOS & Android.

    Funded by leading VC funds, TinyTap is the world’s largest library of educational games handmade by educators worldwide. There are over 150,000 games on TinyTap that are played by over a million families each month. Games are created by teachers worldwide on TinyTap, which enables the creation and sharing of educational games without having to code. 50% of each subscription revenue goes back to the teacher who created the games. Families and teachers can create and play thousands of games for free or purchase a subscription to unlock premium content and view learning data about their children. 50% from every subscription revenue goes back to the teachers who create the games!

    TinyTap is looking for a talented and driven Data Engineer to join their growing team. You will be communicating daily with ambitious Israeli startup team and working alongside people who are driven by a mission worth joining - empowers families, teachers and students to learn from each other by creating their own personalized learning apps.  

  2. Job Description


    • At least 2 years experience in Python 

    • Strong knowledge of OOP

    • Experience in building Big Data Pipelines

    • Experience in creating highly resilient ETL architectures

    • Experience using monitoring and orchestration tools such as Apache Airflow 

    • High proficiency Google Cloud Platform - BigQuery, Pub/Sub, Dataflow, Dataproc, Composer

    • High proficiency in SQL methodologies

    • Self-learner and a team player, ability to work independently

    Nice to Have:

    •  Experience with big data tools: Hive, Spark, etc.

    •  Experience with ML models (classification, clustering, decision tree-based methods) 

  3. Key Competencies & Technologies

    ETL Big Data and Cloud SQL Google Cloud Platform Python

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