Cloud Data Engineer

職務内容

1. 1As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines and analytics infrastructure on cloud platforms.
2. 2Design, build, and optimize ETL and data processing pipelines
3. 3Develop and maintain cloud-based data infrastructure with a focus on scalability, cost efficiency, and performance
4. 4Ensure data accuracy through validation processes, quality checks, and monitoring
5. 5Collaborate with engineering teams on platform enhancements, development planning, and releases
6. 6Partner with operational stakeholders to investigate data-related inquiries and resolve anomalies
7. 7Work closely with reliability and platform teams to improve system stability, governance, and observability
8. 8Leverage generative AI tools and AI agents to improve engineering productivity and operational efficiency

応募資格（必須）

• At least 5 years of experience developing data pipelines, analytics platforms, or comparable systems
• Hands-on experience building, maintaining, and troubleshooting ETL/data pipelines, particularly within GCP environments
• Strong foundational knowledge of SQL, Python, shell scripting, and general computer science concepts
• Understanding of web and application analytics concepts, including sessions and conversions
• Practical experience using generative AI, AI coding assistants, or AI agents in daily engineering work
• Strong communication skills with the ability to collaborate across multiple teams
• A proactive mindset, strong ownership, and the ability to work independently
• Excellent analytical and problem-solving capabilities
• Experience driving initiatives from concept through execution
• Ability to work effectively in an asynchronous working environment

歓迎する経験

• Experience using AI frameworks and tools to automate workflows and improve development efficiency
• Experience with BigQuery, Managed Spark, or other GCP data services
• Experience with pipeline orchestration and CI/CD implementation
• Spark performance tuning and troubleshooting expertise
• Experience with Databricks or similar modern data platforms
• Knowledge of data modeling and analytics-focused ETL architecture
• Experience with data QA, regression testing, and analytics output validation
• Experience performing data analysis and reporting activities

求めるスキル・経験