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Scale Solution Engineer

Advises and technically supports multiple customers through Databricks onboarding and production deployment. Requires 2+ years in a technical data or cloud role, cloud-platform and programming knowledge, and Japanese-English communication skills.

About the job

Responsibilities

  • Advise customers during onboarding and help them deploy Databricks in production environments.
  • Provide early technical assistance to ensure a strong customer experience.
  • Develop expertise in the Databricks Platform and guide customers toward effective technical decisions.
  • Work concurrently with multiple customers to provide technical solutions.

Requirements

  • Undergraduate degree or higher in Computer Science, Information Systems, or a related field, or equivalent relevant experience.
  • 2+ years of experience in a technical role, preferably in data or cloud.
  • Knowledge of at least one public cloud platform: AWS, Azure, or Google Cloud.
  • Knowledge of Python, Scala, or SQL.
  • Knowledge of end-to-end data analytics workflows.
  • Hands-on professional or academic experience with data engineering technologies such as ETL, dbt, Spark, or Airflow, or data warehousing technologies such as SQL, stored procedures, Redshift, or Snowflake.
  • Excellent written and verbal communication skills in Japanese and English.
  • Strong time-management and prioritization skills.

Nice to Have

  • Knowledge of data science and machine learning, including building and deploying machine-learning models.
  • Databricks Certification.

Skills

AWS, Azure, GCP, Python, Scala, SQL, ETL, dbt, Spark, Apache Airflow, Redshift, Snowflake, Machine Learning, Databricks

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