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Toss

Fintech super-app for payments and banking

Data Analytics Engineer - Product

Data ManagementConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • Ability to clearly define key concepts for assigned products as a data warehouse modeler and design simple, clear data structures.
  • Understand data standards and propose efficient data processing methods through effective communication with stakeholders.
  • Understand database normalization and basic data warehouse characteristics: subject-oriented, integrated, non-volatile, and time-variant.
  • Set standards based on clear data structures and efficient data use, including distinguishing standard-domain marts from consumption-domain marts.
  • Understand AARRR.
  • Have strong SQL skills and write efficient, readable, well-organized queries.
  • Have basic Python skills sufficient to use Airflow; being able to understand modules written by others or PySpark code is desirable.
  • Understand Hadoop basics, as the data development environment is based on Hadoop, Airflow, and SQL (Impala).

Responsibilities

  • Complete onboarding to learn Toss data warehouse standards, then work within the assigned silo.
  • Provide standardized, consistent, trusted data (a single source of truth) to colleagues quickly.
  • Build and systematize management processes that enable high-quality data for assigned products across and within silos despite rapid product development.
  • Coordinate with server developers in the assigned silo from product development onward to review data models and suggest improvements from a data analytics perspective.
  • Make product data understandable and trustworthy even to users without domain knowledge by designing clear structures, following standards, implementing and managing data processing logic, validating data consistency, monitoring data quality, reviewing security, and documenting through a metadata management system.

Desired Qualifications

  • Experience processing large-scale data and designing and analyzing metrics.
  • Experience contributing to data warehouse implementation projects, with specific contributions described.
  • Experience identifying and addressing data maturity challenges in an organization.
  • Experience identifying and resolving data quality issues.
  • Specific examples of contributions and lessons learned while solving data-related problems.

About the Company

Toss

Fintech super-app for payments and banking

Toss is a South Korean financial services platform that started as a peer-to-peer money transfer service and has grown into a digital 'super app' for personal finance. Its products are accessed through one mobile interface that unifies bank accounts, credit cards, loans, investments, and other financial services, including its own Toss Bank and Toss Securities. It differentiates itself by offering a broad, integrated ecosystem—combining digital banking, asset management, and brokerage services under one roof and running its own banking and securities units. Its goal is to become the leading consumer finance platform in South Korea while expanding its user base globally.

Company size
1,001-5,000
Company stage
Series G
Total funding
$1.5B
Headquarters
Seoul, South Korea
Founded
2011

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