Junior/Middle Data Quality Engineer

I'm interested

Experience: 1+ years
Remote, full-time

Domain:

Fintech

The project that enables self-billing invoicing between the company and its insurance partner.

The app covers the whole billing process:

Calculates payments that the organization should make to the insurance company, taking into account personnel circumstances and changes in the insurance policy the organization uses
Issues invoice that can be paid autonomously, without the participation of the insurance company.

By providing seamless self-service billing, the application helps to reduce the interactions between the company and its insurance partner and minimize excessive communication. Moreover, with the app organizations leverage accurate, automated calculations of insurance payments that minds specific organizational factors, affecting the payment amount. That reduce human error and repetitive tasks, and distinguishes the app from the competitors.

The app will be built from scratch. It is tailored for the US users.

Project Specifications:

Angular, ASP.NET, Azure Devops, Azure Storage, AzureSQL, Balsamiq, DevTools, EFCore, Fiddler/Charles, Figma, Git, MSSQL, Postman, Swagger, Python.

What we expect:

1+ years of experience in software testing;
experience with Azure SQL (MSSQL);
familiarity with XML for data structuring and validation;
experience using Git;
experience working with API testing tools such as Postman;
English level: Intermediate (B1) or higher.

What you will do:

review and validate data for compliance with business and technical requirements;
analyze and understand application logic, including mathematical calculations and data processing flows;
identify, document, and track data inconsistencies and issues, ensuring accuracy and reliability;
apply necessary actions and transformations to data based on predefined rules and requirements;
work with databases, executing SQL queries to verify and manipulate data;
maintain and update documentation related to data validation processes, findings, and resolutions;
ensure responsible handling of financial data, maintaining a high level of accuracy and attention to detail;
continuously improve data validation workflows and suggest enhancements to optimize processes.

Nice to have:

understanding of CI/CD processes;
experience with Azure DevOps and Azure Storage Services;
knowledge of Superset and Airflow for data processing and visualization;
proficiency in data analysis tools and Excel;
familiarity with MS SQL Server Management Studio (or alternative database management tools);
experience with Python;
understanding of AI tools for testing and analysis.