软件工程师 - 数据
Software Engineer - Data
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。我们正在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人为本，帮助客户现代化、把握新兴趋势，并为未来几十年的发展演进其业务。
我们正在招聘数据/软件工程师加入一个团队，该团队将为一家顶级银行客户的关键项目进行软件和数据工程工作。这是一个与云原生技术和现代架构紧密合作的激动人心的机会。
我们寻找具有数据方向的后端工程师，因为该团队将构建超越传统 ETL 流水线的生产软件和数据系统。期望具备扎实的 Python 编程技能。
- 所需技能：
- 5 年以上应用开发经验，具备扎实的 Python 编程能力。
- 4 年以上使用 AWS 云服务的实际经验。
- 4 年以上使用关系型数据库（包括 PostgreSQL）并编写复杂 SQL 查询的经验。
- 在云环境中进行数据迁移活动的经验，重点关注企业级数据移动和转换。
- 使用云数据平台（如 Databricks 和 Snowflake）分析大型数据集的经验。
- 熟悉分布式数据处理和批处理/流处理工具，如 Apache Spark、Kafka 或 AWS Kinesis。
- 使用工作流编排工具（如 Apache Airflow 或类似工具）的经验。
- 熟悉企业级 ETL 流水线、数据质量控制和合规治理。
- 具有使用 Kafka/OneStream 构建实时事件驱动数据流的实际经验。
- 熟悉大规模云数据仓库、Snowflake 和 OneLake 中的性能优化和建模。
加分技能：
- Java 开发经验。
- 使用 AWS Glue 或其他 AWS 数据集成服务的经验。
- 熟练掌握 UNIX/Linux 环境，包括基本的 shell 脚本编写。
- 在敏捷团队中工作的经验以及对敏捷工程实践的了解。
- 之前有咨询经验或具备面向客户的协作环境中的适应能力。
我们过去 20 年的成功源于我们卓越的团队，他们在一个注重协作、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，以及...
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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 are hiring Data/Software Engineers to join a team driving software and data engineering for a critical initiative for a premier banking client. This is an exciting opportunity to work hands-on with cloud-native technologies and modern architecture.
We are looking for Back-end Engineers with a Data focus, as this team will be building production software and data systems beyond traditional ETL pipelines. Strong programming skills in Python are expected.
- Required Skills:
- 5+ years of experience in application development with strong Python programming skills.
- 4+ years of hands-on experience with AWS cloud services.
- 4+ years working with relational databases, including PostgreSQL, and writing complex SQL queries.
- Experience with data migration activities in cloud environments, focusing on enterprise-scale data movement and transformation.
- Experience working with cloud data platforms such as Databricks and Snowflake to analyze large datasets.
- Familiarity with distributed data processing and batch/stream processing tools such as Apache Spark, Kafka, or AWS Kinesis.
- Experience with workflow orchestration tools like Apache Airflow or similar.
- Familiarity with enterprise ETL pipelines, Data Quality controls, and compliance Governance.
- Practical experience architecting real-time, event-driven data streams using Kafka/OneStream.
- Familiarity with large-scale cloud data warehousing, performance optimization, and modeling within Snowflake and OneLake
Nice to Have Skills:
- Java development experience.
- Experience with AWS Glue or other AWS data integration services.
- Proficiency with UNIX/Linux environments, including basic shell scripting.
- Experience working in Agile teams and knowledge of Agile engineering practices.
- Prior consulting experience or aptitude for client-facing collaborative environments.
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