Senior Data Partner
Tabby
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Posted on 29 Oct
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Job Description
Roles & Responsibilities
Senior Data Partner
Senior Data Partner
Department: Data Platform
Employment Type: Full Time
Location: Remote
Reporting To: Maksim Zolotarev
Description
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 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 40,000 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 $10 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 $4.3 billion.
We are hiring a Data Partner who will become a key part of our evolving data culture and help business users extract the full value from the DWH data.
Key Responsibilities:
Development of data models for analytics, reporting, and use of data for ML and Backend services
Development of Data Mesh, creation and maintenance of Data Products within the domain, from requirements gathering to implementation
Ensuring data quality through the development of automated checks (Data Quality Tests)
Optimizing the cost of data consumption, improving computational resource usage efficiency, and developing Data Products through metrics
What you'll bring:
3+ years of experience as a Data Engineer or Data Analyst
Data modeling: SCD forms, Normal forms, Star / Snowflake Schema, Data Vault
Good knowledge of Python
Good knowledge of SQL
Familiar with tech stack as Airflow, dbt, BigQuery, Clickhouse, GitLab(CI/CD)
Familiar with BI tools as Looker, Tableau, Metabase
Best practices for data processing and data storing
Experience on Google Cloud Platform
Strong communication skills in English
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