As a Data Engineer, you design and optimize data processing algorithms on a talented, cross-functional team. This role offers an exciting opportunity to work on cutting-edge projects and receive training to become proficient in Databricks.
Responsibilities
- Design, build, and optimize data processing systems using Python or Java.
- Develop, maintain, and extend scalable data pipelines from diverse sources.
- Collaborate with cross-functional teams, bringing innovative ideas to life.
- Prepare data for operational and analytical purposes.
- Solve complex challenges independently and in agile teams.
- Communicate in English with your team and in Japanese with customers.
Requirements
- 5+ years experience of software development (Python, SQL or similar language).
- 5+ years experience of data engineering, ETL processes, and cloud platforms (AWS, Azure, or GCP).
- 2+ years experience of big data technologies like Spark, Flink, or Hive.
- Strong computer science fundamentals and experience with distributed systems.
- Excellent communication skills in both English and Japanese.
Nice to haves
While not specifically required, tell us if you have any of the following.
- Experience with Databricks.
- Familiarity with Docker, Kubernetes, or other containerization tools.
Compensation
¥6,000,000 ~ ¥20,000,000 annually.
