- Location
- JP
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Marketing
- Closing date
- Today
- Source
- Vincere
Description
Career Opportunity for a Data Engineer in Japan!
■ Data Engineer (English speaking position)
■ Company Overview
An e-commerce, fintech, digital content and communications company with more than 30,000 employees, and operations in 30 countries and regions.
■ Your Role and Responsibilities
●As a Data Engineer, your primary responsibility will be to design, develop, and maintain scalable data pipelines and systems that support our search functionality.
Key Responsibilities
●Design, develop, and maintain scalable and efficient data pipelines using modern data technologies.
●Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
●Implement and manage ETL (Extract, Transform, Load) processes to ensure data is accurately
●Optimize and maintain data storage solutions, including data lakes, data warehouses, and databases.
●Ensure data quality, integrity, and security across all data systems.
●Stay up-to-date with the latest trends and best practices in data engineering and modern data technologies.
●Document data processes, systems, and workflows to ensure knowledge sharing and continuity.
■ Experience and Qualifications
●Proven experience as a Data Engineer
●Strong proficiency in SQL.
●Experience with modern data technologies such as Apache Spark, Apache Kafka, Apache Flink, Hadoop, and cloud-based data platforms (e.g., AWS, GCP, Azure).
●Proficiency in programming languages such as Python, Java, or Scala.
●Experience with ETL tools and frameworks (e.g., Apache NiFi, Talend, Airflow).
●Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
●Knowledge of data modeling, data architecture, and data governance principles.
●Strong problem-solving skills and attention to detail.
■ Additional Preferred Qualifications
●Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
●Knowledge of machine learning and data science workflows.
●Knowledge of semantic search and image search related technologies.
●Familiarity with data visualization tools (e.g., Tableau, Power BI).
■ Good Reasons to Join
● Hybrid position in Japan
● Work with International team members
■ Work Location
Tokyo, Japan
Details will be provided during the meeting.