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Tabby is a fintech platform that enables shoppers to split payments online and in-store with no interest or fees. The company serves over 25 million users and partners with 70,000+ global brands including Amazon, Noon, IKEA, and SHEIN. Tabby generates over $18 billion in annual transaction volume and is the largest and fastest-growing fintech in the GCC region. Founded in 2019, the company has raised over $1 billion in funding and is valued at $6.5 billion.
You will join the Data Services Team as a Senior Data Engineer, responsible for building and maintaining critical internal data infrastructure. Your primary focus will be developing and scaling a Feature Store and other data services that power the organization's analytics and machine learning capabilities.
Key responsibilities include:
- Designing and developing a Feature Store and future data services platforms
- Building and optimizing EL/ELT/ETL pipelines for high-volume transaction data
- Integrating new tools and technologies for data processing and storage
- Ensuring systems are scalable, reliable, and performant at high load
Required qualifications:
- 3-5 years of experience as a Data Engineer, ML Engineer, or Backend Engineer
- Proven experience developing high-load and scalable data processing and storage systems
- Strong knowledge of event-driven systems and streaming pipelines
- Proficiency in Python with understanding of best practices
- Strong SQL skills and knowledge of best practices
- System design expertise
- Familiarity with: Airflow, Debezium, BigQuery/Clickhouse, PostgreSQL/CockroachDB, Docker, GitLab CI/CD, GCP
- Experience with REST APIs, gRPC APIs, message brokers, and queues
Bonus skills:
- Go development experience
- Experience with modern data storage systems (Relational, MPP, NoSQL)
- Google Cloud Platform expertise
