Data Engineer
About the Role
We are seeking a dedicated Data Engineer to join our data team in supporting the digital transformation of one of Japans leading logistics companies. In this role you will design and implement reliable scalable data pipelines and develop selfservice tools to empower business teams. Your work will directly contribute to improving operational efficiency data quality and decisionmaking across the organization.
Responsibilities
- Build and optimize robust data pipelines on a data lake platform to support business operations and analytics.
- Develop and maintain selfservice tools for data orchestration monitoring and quality checks.
- Implement data validation observability and lineage processes to ensure data accuracy and traceability.
- Design and maintain wellstructured data models to support reporting and analysis.
- Collaborate closely with data analysts and stakeholders to understand data needs.
- Mentor and coach junior engineers fostering a collaborative and highquality engineering culture.
- Contribute to continuous improvement of development processes and best practices.
Requirements
- 4 years of experience designing and building data pipelines on data lakes.
- Strong handson experience with Apache Airflow for workflow orchestration.
- Proficient in SQL and Python (Scala experience is a plus).
- Strong knowledge of data quality validation observability and testing frameworks.
- Experience with Docker and Kubernetes in production environments.
- Strong organizational and project management skills with the ability to handle multiple projects.
- Excellent communication and teamwork skills with a proactive and solutionoriented mindset.
- Passion for continuous learning knowledge sharing and contributing to team success.