高级数据工程师
Senior Data Engineer
Tabby 通过重新塑造人们与金钱的关系，为人们购物、赚钱和储蓄带来财务自由。超过2500万用户选择 Tabby 来掌控自己的支出，并让每一分钱都发挥最大价值。
公司的旗舰产品允许购物者在线上和线下进行无利息、无费用的分期付款。包括 Amazon、Noon、IKEA 和 SHEIN 在内的超过7万家全球品牌和中小企业使用 Tabby 通过提供便捷灵活的支付方式来加速增长并赢得忠实客户。
Tabby 为其合作伙伴品牌每年产生超过180亿美元的交易额，并是海湾合作委员会（GCC）地区评价最高、评论最多、规模最大且增长最快的金融科技公司。
Tabby 于2019年推出，此后从全球和区域投资者那里筹集了超过10亿美元的股权和债务融资，目前估值为65亿美元。
我们正在招聘一名数据工程师，加入数据服务团队，将帮助我们创建内部解决方案，如特征存储，并准备好执行运营任务。
主要职责：
- 开发特征存储和其他未来数据服务；
- 开发 EL / ELT / ETL 管道；
- 集成新的数据处理和数据存储工具；
技能、知识与专长：
- 3-5 年数据工程师、机器学习工程师或后端工程师经验；
- 具备开发高负载和可扩展的数据处理和存储系统经验；
- 熟悉事件驱动系统和流式处理管道；
- 精通 Python 及其最佳实践；
- 精通 SQL 及其最佳实践；
- 系统设计最佳实践；
- 熟悉技术栈：Airflow、Debezium、BigQuery / Clickhouse、PostgreSQL / CockroachDB、Docker、GitLab（CI/CD）、GCP；
- REST API / GRPC API / 消息代理和队列。
加分技能：
- 具备 GO 开发经验；
- 具备现代数据存储系统的经验：关系型、MPP、NoSQL；
- 具备 Google Cloud Platform 经验。
我们提供的福利：
- 全职 B2B 合同
- 全远程办公
- 最高 20% 的税前津贴
- 每年 22 天带薪假期
- 快速扩张、即将上市的公司股票期权（ESOP）
- 弹性福利可用于健康、旅行或学习
- 与一支高效、国际化的工程团队一起工作，在全球金融科技独角兽公司中成长
最初发布于 Himalayas
查看英文原文
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.
We are hiring a Data Engineer for the Data Services Team who will help us create our internal solutions such as a Feature Store and will be ready to perform operational tasks.
Key Responsibilities:
- Development Features store and other future data services;
- Development EL / ELT / ETL pipelines;
- Integration new tools for data processing and data storing;
Skills, Knowledge & Expertise:
- 3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer;
- Experience in developing high-load and scalable data processing and storage systems;
- Good knowledge and background in event driving systems and streaming pipelines;
- Python + best practice for Python;
- SQL + best practice for SQL;
- System design best practices;
- Familiar with tech stack as Airflow, Debezium, BigQuery / Clickhouse, PostgreSQL / CockroachDB, Docker, GitLab(CI/CD), GCP;
- REST API / GRPC API / Message brokers & Queues.
Bonus skills
- GO development experience;
- Experience on modern systems of data storing: Relational, MPP, NoSQL;
- Experience on Google Cloud Platform.
What we offer:
- Full-time B2B contract
- Fully remote setup
- Up to 20% tax allowance
- 22 paid leave days annually
- Stock options (ESOP) in a fast-scaling, pre-IPO company
- Flexi benefits you can use for wellness, travel, or learning
- Work alongside a high-performing, international engineering team in a global fintech unicorn
Originally posted on Himalayas