flutter-developer-2024

We are looking for or fresher (with basic knowledge on Flutter development) or 1year experienced Flutter Developers responsible for development of various android/IOS based mobile applications.

Job Responsibilities:

• Create multi-platform apps for iOS/Android using Flutter Development Framework.

• Contribute in all phases of the development life cycle: concept, design, build, deploy, test, release to app stores and support.

• Diagnose performance issues, fix bugs (including crashes) to increase the functionality of the application

• Write well designed, testable, efficient code

• Develop mobile applications using the Flutter framework.

• Collaborate with cross-functional teams to define, design, and ship new features.

• Write clean, maintainable, and efficient code.

• Troubleshoot, debug, and fix application issues.

• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

• Work closely with UI/UX designers to implement design specifications.

• Participate in code reviews to ensure code quality and adherence to standards.

• Optimize application performance and responsiveness.

• Stay up-to-date with emerging technologies and industry trends.

Skills:

1. Flutter SDK

2. Dart programming language

3. Mobile UI/UX design principles

4. RESTful APIs

5. Firebase or other backend services

6. State management solutions like Provider or Riverpod

7. Version control with Git

8. Debugging and performance optimization techniques

9. Cross-platform development considerations

10. Continuous integration and deployment (CI/CD) tools

Desured Profile:

• Knowledge and experience in Flutter Framework and DART programming.

• Hands on experience in using RESTful APIs.

• Object oriented analysis, UML and design using common design patterns.

• Familiarity with IOS integration with Flutter.

• Experience using GitHub or similar environment.

• Experience with Agile development.

• Ability to understand business requirements and translate them into technical requirements.

Experience : 0 to 1 year

Note: Freshers can apply only who have knowledge in Flutter field.

Apply Here : Click here

FORD-data-analytics-hiring-2024

Job description

We are seeking a dynamic team player to support multiple service offerings in the High Performance Computing (HPC) service, join multiple HPC service offering teams, collaborating closely with colleagues in both North America and Asia-Pacific. Provide day-to-day support and guidance to software engineers, data analysts and data scientists on using GCP Dataproc and Dataflow services.

1. Python/Pyspark

2. Apache Beam Coding Skills

3. Apache Airflow

4. Terraform Coding Skills

5. Tekton Pipeline Experience

6. SQL, Java, Shell scripting

7. Docker/Kubernetes experience

1. Provide day-to-day support and guidance to software engineers, data analysts and data scientists on using GCP Dataproc and Dataflow services i.e. job and cluster creation, error handling, etc..

2. Help troubleshoot issues on GCP and Hadoop platforms including but not limited to Dataproc, Dataflow, Hive, Spark, Oozie, Kafka, NiFi, etc.

3. Perform testing and PoCs for different Dataproc and Dataflow use cases

4. Participate in monthly On-Call rotation

Role: Business Intelligence & Analytics - Other

Industry Type: Auto Components

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Business Intelligence & Analytics

Education

UG: Any Graduate

PG: Any Postgraduate Apply Here :Cilck here

Unleash the Power of Python: Your Guide to Mastering Programming in Erode

Introduction:

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Module 1: Python Basics

- Introduction to Python and its syntax

- Variables, data types, and operators

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- Functions and modules

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- Understanding classes and objects

- Inheritance, polymorphism, and encapsulation

- Working with constructors and destructors

- Advanced OOP concepts

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- Introduction to web development frameworks (Flask, Django)

- Building dynamic web applications with Flask

- Creating RESTful APIs

- Integrating databases with SQLAlchemy

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- Introduction to data science and NumPy

- Data manipulation with Pandas

- Data visualization with Matplotlib and Seaborn

- Introduction to machine learning with scikit-learn

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- Concurrency and parallelism

- File handling and input/output operations

- Error handling and debugging techniques

- Best practices and code optimization

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