Data Engineer (GCP)

We are a leading consulting firm that excels in automating business processes through advanced artificial intelligence solutions. We empower IT specialists to elevate their careers within a thriving B2B environment. Our diverse portfolio includes impactful projects across fintech, medtech, edutech, and industrial automation sectors. Through our strong collaboration with clients, we drive their growth by delivering swift and measurable results, while equipping IT professionals with unparalleled opportunities for career advancement and valuable experience.

Why is it worth working with us?

✨ Flexibility - You choose projects tailored to your skills and interests, with the possibility of changing within our company or the Euvic group, of which we are a part.

💡 Transparency - You have clear cooperation rules and full remuneration and conditions transparency.

🚀 Speed ​​of action - Thanks to our efficiency, you will quickly find or change a project that perfectly suits your competencies.

🌟 Development opportunity - You work on innovative projects, developing key competencies and gaining valuable experience.

With us, you are sure of cooperation at the highest level and the opportunity to develop ambitious projects tailored to your competencies.

Job Responsibilities:

• Creating and Maintaining Unit Tests in Flutter Applications:
• Utilize the flutter_test package to write unit tests, ensuring high code quality and reliability.
• Testing State Management with BLoC (Cubit):
• Use the bloc_test package to test state management logic within the app effectively.
• Implement tests for BLoC or Cubit patterns used in the project.
• Mocking and Simulating Services for Testing:
• Create service mocks using the mocktail or mockito packages to simulate specific behaviors in tests.
• Test components that interact with external services, ensuring they behave as expected in different scenarios.
• Writing Widget Tests:
• Leverage the flutter_test package to create widget tests, ensuring correct UI rendering and interactions with UI components.
• Performing Integration Testing:
• Write integration tests using the built-in integration_test package and extend this with the patrol package for advanced testing features.
• Test the cooperation of different application components in realistic user conditions.
• Collaborating with the Development Team:
• Work closely with the development team to integrate tests into the CI/CD pipeline and ensure continuous code quality.

The Client operates within the insurance technology space and offers a streamlined online platform that simplifies the process of purchasing life insurance and related financial products. It allows users to compare quotes from multiple insurance providers, making it easier for individuals to find policies that fit their needs and budgets. The client focuses on transparency and user-friendliness, often providing educational resources to help potential customers better understand their options.

The customer wanted to integrate insurance and call center data (size in terabytes) from multiple warehouses while addressing tech debt.

Goal: Establish a single source of truth for high-quality, maintainable data.

Implemented Solution

- Merged data from various warehouses into a unified system.

- Optimized and automated data ingestion processes with Airflow and Airbyte.

- Added new data sources to enhance reporting and analytics capabilities.

- Refactored existing code and processes to improve system performance and maintainability.

- Developed a mechanism to analyze caller sentiment using the integrated data.