Senior Data Platform Engineer (Stock options offered)

Background
At estie, we have built one of Japan’s largest office real estate data sets and, based on this data, we develop and operate multiple products.

We are currently building an internal data management platform to enable multiple product teams to collect, process, and store data at high quality and speed. This platform will also ensure a secure environment for utilizing the data constructed by other products.

To achieve this goal and continuously improve our systems, we are seeking a Data Analysis Platform Engineer who can leverage their data engineering expertise to build a high-level data platform.

Responsibilities

• Build and continuously improve a data management platform that:

  • Enables development teams to rapidly collect, process, and verify the quality of various real estate-related data.
  • Allows many employees to perform analysis based on user behavior logs and internally stored real estate data.
  • Is envisioned around Snowflake, dbt, Fivetran, and BI tools.

• Develop mechanisms that allow employees (Customer Success, Product Managers, Software Engineers) who want to conduct analyses, as well as software engineers who want to build data pipelines for products, to achieve their goals easily and securely.

• Design and operate the security and governance of the data management platform.

• Build and operate crucial KPI dashboards used company-wide.

Requirements

• Experience in building and operating data management platforms using SQL, Python, or similar languages.
• Practical knowledge and experience in developing with cloud services.

Preferred Skills

• Practical experience in designing and operating security and governance measures for internal data utilization.
• Software development experience using languages like Python.
• Knowledge of and hands-on experience with IaC tools like Terraform.
• Knowledge of and practical development experience with AWS.
• Knowledge of and practical development experience with Snowflake.
• Knowledge of RDBMS, including table design and database tuning.
• Experience using and evaluating BI tools like Tableau or Looker.
• Experience using and building with data transformation tools such as dbt.