数据工程师

As a Data Engineer, you will play a key role in designing, building, and operating data pipelines and integrations that power our analytics, reporting, and data-driven applications. Your focus lies on reliable data ingestion, ETL-based data integration, and enabling high-quality data flows across our data platform.

Requirements: You have 3-5 years of professional experience in data engineering, working with ETL platforms (preferably Talend) for batch and API integrations. You have a very good understanding of data ingestion patterns, schema evolution, data quality principles, and data modeling. You possess strong SQL skills and a solid understanding of relational databases (e.g., PostgreSQL, Redshift, or Oracle). You bring basic Java knowledge and an understanding of software development fundamentals. You stand out with strong analytical and problem-solving thinking, teamwork and a structured, proactive working style.

Your tasks will include the following activities: Data Engineering: You design, build, and maintain scalable, resilient, and secure data pipelines, ensuring high-quality data flows and operational stability across the platform. Data Integration: You develop, operate and optimize ETL/ELT processes for batch jobs and API-driven data integrations using our ETL platform (e.g., Talend) as well as implementing reusable components, connectors, and integration patterns. Data Source Discovery & Ingestion: You identify, assess, and acquire relevant internal and external data sources for analytics and integration use cases while evaluating their data quality, data models, access methods, SLAs, and overall integration feasibility. Data Governance & Continuous Improvement: You also ensure compliance with data governance, platform standards, and security policies while proactively identifying opportunities for automation and continuous improvement. Collaboration & Engineering Practices: You collaborate closely with cross-functional teams in an agile environment, contributing to CI/CD pipelines, version control (Git/Bitbucket), code reviews, and documentation best practices.

您需要有3-5年数据工程经验，熟悉ETL平台（ preferably Talend）用于批处理和API集成。您需要有良好的数据摄入模式、模式演变、数据质量原则和数据建模的理解。您需要具备强大的SQL技能和对关系型数据库（例如PostgreSQL、Redshift或Oracle）的扎实理解。您需要具备基本的Java知识和对软件开发基础的理解。您需要具备强大的分析和问题解决思维、团队合作和结构化、积极的工作风格。