
201 - 500 employees
💳 Fintech
🛍️ eCommerce
💰 $58M Series C on 2023-01
Fintech • eCommerce
Tabby is a payment solutions company that allows shoppers to split their purchases into four interest-free monthly payments, making shopping more accessible and convenient. Tabby provides an app that helps users discover and track the best products, brands, and deals. The service is available for a wide range of categories, including fashion, beauty, electronics, and more, and integrates with VISA for broad acceptance. Additionally, Tabby offers business solutions to increase sales by removing price barriers and supports shoppers through its Tabby Care service, which facilitates easy returns and payment holds in case of purchase issues.
🔥 18 hours ago
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201 - 500 employees
💳 Fintech
🛍️ eCommerce
💰 $58M Series C on 2023-01
Fintech • eCommerce
Tabby is a payment solutions company that allows shoppers to split their purchases into four interest-free monthly payments, making shopping more accessible and convenient. Tabby provides an app that helps users discover and track the best products, brands, and deals. The service is available for a wide range of categories, including fashion, beauty, electronics, and more, and integrates with VISA for broad acceptance. Additionally, Tabby offers business solutions to increase sales by removing price barriers and supports shoppers through its Tabby Care service, which facilitates easy returns and payment holds in case of purchase issues.
• Develop the corporate data warehouse for business users, analysts, and ML engineers using cloud technologies and data-processing and storage best practices • Synchronize data between internal and external systems • Develop tools for collecting data into the data warehouse • Develop EL, ELT, and ETL pipelines • Integrate new tools and practices for data governance and data quality • Optimize costs
• 3+ years of experience as a Data Engineer • DWH development and maintenance experience • Knowledge of DWH architectures: Kimball, Inmon, Medallion, Data Mesh • Knowledge of data modeling: SCD forms, Normal forms, Star Schema, Data Vault • Python and Python best practices • SQL and SQL best practices • System design best practices • Familiarity with Airflow, dbt, BigQuery, ClickHouse, PostgreSQL, Docker, GitLab (CI/CD), and GCP • Best practices for data processing and data storing • Bonus: REST API, gRPC API, message brokers and queues • Bonus: experience with relational, MPP, and NoSQL data storage systems • Bonus: experience on Google Cloud Platform
• 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 • Relocation support is available to hubs in Armenia, Georgia, Serbia, Poland and Spain, including flights, temporary accommodation, legal setup (if needed)
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