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Data Back-end Engineer (Data Back-end)

Appier Japan株式会社

  • Python
  • AWS
  • GCP
  • Apache Spark
  • Presto
  • Apache Airflow
  • Trino
  • RESTful APIs
  • Pinot
  • Kubernetes (k8s)
  • Company employee count 101 to 1,000

Company Info

Appier is a SaaS company that supports decision-making of businesses by applying artificial intelligence (AI) in 2012, and democratizes AI, and uses AI to change the profit by using it as a tool to understand software. Appier currently has 17 offices in APAC, Europe, and the United States, and is expanding to the Tokyo Stock Exchange.

Job Summary

In this position, you will design, develop, maintain, and manage a sophisticated data warehouse and management using Python, RESTful API, Trino/Presto, and Pinot. You will also use Apache Airflow and Apache Spark to design and develop data pipelines and work in cloud platforms such as AWS and GCP, and utilize Kubernetes for orchestration.

Duties

Appier's solution supports deep learning and machine learning technology, and all businesses can change data analysis and decision-making by using AI. It is related to the construction of important components of the platform as a Python, RESTful API, Trino/Presto, and Pinot, and the development and operation of data pipelines using Apache Airflow and Apache Spark, and the optimization of cloud platforms (AWS and GCP) and the utilization of its functions, and the promotion of automation tools for daily work and the promotion of expansion and scaling for Kubernetes (k8s).

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Data Back-end Engineer (Data Back-end)

Appier Japan株式会社

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