Data Engineer

職務内容

1. 1Design, build, and maintain high-performance ETL and data processing pipelines on cloud platforms
2. 2Ensure accurate, timely, and reliable delivery of analytics data to internal stakeholders
3. 3Own data quality validation, regression testing, and analytics output verification
4. 4Monitor and optimize pipeline performance, reliability, scalability, and cost efficiency
5. 5Collaborate closely with software engineering, customer support, and platform reliability teams
6. 6Troubleshoot production issues and proactively identify opportunities for improvement
7. 7Contribute to CI/CD processes, workflow automation, and infrastructure enhancements
8. 8Leverage generative AI and AI-powered development tools to improve engineering efficiency
9. 9Support data governance, monitoring, and operational best practices
10. 10Participate in Scrum-based development and cross-functional planning activities

理想の人材

1. 1Required Experience & Skills: 5+ years developing data pipelines, analytics platforms, or related systems
2. 2Hands-on ETL/data pipeline experience in cloud environments
3. 3Strong programming and scripting skills using Python, SQL, and shell scripting
4. 4Understanding of analytics concepts such as sessions, conversion tracking, and user behavior analysis
5. 5Experience using generative AI tools and AI agents in day-to-day development workflows
6. 6Strong problem-solving abilities and structured approach to execution
7. 7Excellent communication skills and ability to collaborate across multiple teams
8. 8Proven ownership mindset with experience driving initiatives from concept through delivery
9. 9Ability to work effectively in distributed and asynchronous environments
10. 10Preferred Qualifications: Experience with Google Cloud Platform services such as BigQuery, Spark, or managed data processing solutions
11. 11Experience using Databricks or comparable data platforms
12. 12Knowledge of Spark performance tuning and troubleshooting
13. 13Experience with workflow orchestration and CI/CD tools
14. 14Understanding of data modeling and analytics-focused ETL architecture
15. 15Experience in data quality assurance, regression testing, and validation frameworks
16. 16Background in data analytics or data-driven product environments
17. 17Track record of leveraging AI frameworks and automation tools to improve engineering productivity and data quality

条件・待遇

1. 1Opportunity to work on a large-scale analytics platform used to support critical business decisions
2. 2Exposure to modern cloud-native data technologies and AI-driven engineering practices
3. 3Collaborative and highly skilled engineering environment
4. 4Ownership of impactful projects with visible business outcomes
5. 5Continuous learning opportunities and exposure to emerging data technologies
6. 6Cross-functional collaboration across engineering, platform, and analytics teams
7. 7Agile development environment with a strong culture of innovation and improvement

応募資格（必須）

• 5+ years of experience developing data pipelines, analytics platforms, or related systems
• Hands-on experience building, maintaining, and troubleshooting ETL/data pipelines, particularly within cloud environments
• Strong programming and scripting skills using Python, SQL, and shell scripting
• Understanding of analytics concepts such as sessions, conversion tracking, and user behavior analysis
• Experience using generative AI tools and AI agents in day-to-day development workflows
• Strong problem-solving abilities and a structured approach to execution
• Excellent communication skills and the ability to collaborate across multiple teams
• Proven ownership mindset with experience driving initiatives from concept through delivery
• Ability to work effectively in distributed and asynchronous environments

歓迎する経験

• Experience with Google Cloud Platform services such as BigQuery, Spark, or managed data processing solutions
• Experience using Databricks or comparable data platforms
• Knowledge of Spark performance tuning and troubleshooting
• Experience with workflow orchestration and CI/CD tools
• Understanding of data modeling and analytics-focused ETL architecture
• Experience in data quality assurance, regression testing, and validation frameworks
• Background in data analytics or data-driven product environments
• Track record of leveraging AI frameworks and automation tools to improve engineering productivity and data quality

求めるスキル・経験