EY Praktikant Data Science im Bereich prüfungsnahe 

Germany, Hesse, Frankfurt 

323163997

Responsibilities

• Develop shared business logic using Kotlin Multiplatform.
• Integrate platform-specific code for iOS and Android.
• Build reusable components and libraries for future use.
• Optimize code for performance across multiple platforms.
• Translate designs and wireframes into high-quality shared code.
• Guide the team in following best practices for clean and maintainable code.
• Collaborate with platform-specific teams to ensure seamless integration.
• Foster teamwork and lead by example.
• Manage stakeholders through close interaction with clients and internal teams.

Experience

• 6+ years of experience in mobile application development (iOS/Android).
• 2+ years of experience in Kotlin Multiplatform development.
• Strong understanding of Kotlin language features and best practices.
• Experience in compose multiplatform.
• Experience integrating shared code with platform-specific features (Swift/Objective-C for iOS, Kotlin/Java for Android).
• Hands on experience with Jetpack compose
• Experience in unit testing and ensuring code quality using tools like SonarQube.
• Knowledge of JSON, REST APIs, and Web Services.
• Experience in setting up CI/CD pipelines for cross-platform projects.

Must-Have Skills

• In-depth knowledge of Kotlin and Kotlin Multiplatform.
• Experience building unit tests, mock tests, and integration tests.
• Expertise in coroutines, Ktor, SQLDelight, and Kotlinx.serialization.
• Ability to organize shared codebases using common design patterns such as MVVM or Clean Architecture.
• Strong understanding of concurrency and performance optimization.
• Experience integrating shared Kotlin code with platform-specific codebases.
• Familiarity with tools like Gradle and Cocoapods for dependency management.
• Understanding of accessibility and security policies in mobile applications.
• Ability to write code that passes multiple quality gates (e.g., Checkmarx, MobSF, Sonar).

Nice-to-Have Skills

• Exposure to cloud platforms like AWS or Azure.
• Experience with emerging technologies such as IoT or AI/ML.
• Awareness of enterprise Mobile Application Management (MAM) or Mobile Device Management (MDM) frameworks.
• Familiarity with WebSockets and offline mobile applications.
• Awareness of enterprise mobile application data protection policies.

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