Design and implement scalable data pipelines using Databricks Lakehouse Platform, collaborating with engineers and data scientists.
About this role
This senior data engineering role sits within Ultra Tendency’s Engineering team in Japan and focuses on scalable data platforms for international clients. The work supports analytics, machine learning, and business intelligence applications across large-scale data and AI projects.
The engineer designs, implements, and maintains data pipelines on the Databricks Lakehouse Platform, including batch and streaming workflows. The posting names Apache Spark, PySpark, SQL, Scala, AWS, Azure, GCP, CI/CD, Git, and orchestration tools such as Airflow or Databricks Workflows. Responsibilities also include data modeling, distributed processing, performance and cost optimization, data quality, governance, and security.
Applicants should have strong experience with Databricks and Apache Spark, experience building data platforms on a major cloud provider, and a solid understanding of distributed data processing, data modeling, and performance optimization. Experience with CI/CD and version control is also required, with familiarity with orchestration frameworks expected.
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