Job Description
<Job Responsibilities> - Design, build, and maintain robust, scalable data pipelines to support data processing and analytics - Develop and maintain backend APIs and services to support analytics and AI features - Work within the Databricks environment to build, test, and optimize data workflows - Collaborate with data scientists and consultants to bring models into production - Apply best practices in Git version control and manage CI/CD pipelines for deployment - Communicate directly with technical and non-technical stakeholders in an agile setting
Job Requirement
<Necessary Skill / Experience > ・Education: Bachelor’s Degree in Computer Science or related field ・Language: English - Intermediate Level (Equivalent to TOEIC 800) ・Experience: More than 3 years of experience in data engineering and/or backend development - Solid experience with cloud services, especially AWS and Azure - Proficient in Python, SQL, and building RESTful APIs - Familiar with Git workflows and CI/CD automation tools (e.g., GitHub Actions, GitLab CI) - Willingness to learn and certify in Databricks — full training provided upon joining <Preferable Skill / Experience> - Previous experience in Spark and Databricks projects