高级数据工程师
Senior Data Engineer
Kunai 为银行、信用和支付网络、基础设施提供商及其客户提供全栈技术解决方案。我们共同改变世界与金融服务的关系。在 Kunai，我们通过保持技术中立和以用户为中心，帮助客户现代化、把握新兴趋势，并为未来几十年的发展演变其业务。
我们正在寻找一位高级数据工程师，要求具备 SQL、Snowflake、dbt、ETL 流程以及 Python 的强大专业知识。候选人将负责设计、构建和维护可扩展的数据管道和模型，重点是快速掌握现有和新的数据模型，以支持分析和商业智能工作。
主要职责：
- 使用 SQL、Snowflake、dbt 和 Python 设计、开发和优化数据管道和 ETL 工作流。
- 与数据分析师、数据科学家和业务利益相关者合作，理解需求并将其转化为可扩展的数据模型。
- 快速学习并熟悉现有和新的数据模型，以维护和提升数据基础设施。
- 确保数据管道和数据存储中的数据质量、一致性和可靠性。
- 监控、排查并改进数据管道和查询工作负载的性能。
所需资格：
- 在 SQL 和现代数据仓库解决方案（最好是 Snowflake）方面有丰富经验。
- 具有使用 dbt 进行数据转换和建模的实际经验。
- 具备使用 Python 进行数据工程任务的强编程能力。
- 有设计和管理 ETL 流程及可扩展数据管道的实证记录。
- 能够快速理解和处理复杂的数据模型。
- 强大的分析、解决问题和沟通能力。
我们过去 20 年的成功源于我们优秀的团队，他们在协作、创意和持续学习的文化中蓬勃发展。
我们自豪地为员工提供一系列福利，包括具有竞争力的薪酬、职业发展机会和灵活的工作安排，所有这些都旨在帮助他们取得成功。随着我们不断扩展，我们始终致力于营造一个让员工感到被重视、有发言权，并获得成长工具的环境——无论是在个人还是职业层面，同时推动金融科技行业的创新边界。
最低学历要求：
- 本科及以上学历，如无学位，需额外证明符合最低要求
查看英文原文
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.
We seek a Senior Data Engineer with strong expertise in SQL, Snowflake, dbt, ETL processes, as well as Python. Candidates will be responsible for designing, building, and maintaining scalable data pipelines and models, with an emphasis on quickly ramping up on existing and new data models to support analytics and business intelligence efforts.
Key Responsibilities:
- Design, develop, and optimize data pipelines and ETL workflows using SQL, Snowflake, dbt, and Python.
- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into scalable data models.
- Rapidly learn and familiarize yourself with existing and new data models to maintain and enhance data infrastructure.
- Ensure data quality, consistency, and reliability across pipelines and data stores.
- Monitor, troubleshoot, and improve performance of data pipelines and query workloads
Required Qualifications:
- Extensive experience with SQL and modern data warehousing solutions, preferably Snowflake.
- Hands-on experience with dbt for data transformation and modeling.
- Strong programming skills in Python for data engineering tasks.
- Proven track record designing and managing ETL processes and scalable data pipelines.
- Ability to quickly understand and work with complex data models.
- Strong analytical, problem-solving, and communication skills.
Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning.
We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry.
Minimum Degree Required:
- Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required