Power Platform Engineer - Application Architecture (4-7 yrs)

Job Description :

Responsibilities :

- Develop applications using Microsoft Power Platforms to meet business needs.

- Customize and extend Power Apps, Power Automate, and Power BI solutions.

- Integrate applications with other Microsoft services and third-party systems.

- Utilize Microsoft Power Virtual Agent (Copilot Studio) to create intelligent chatbots and virtual agents.

- Collaborate with team members to ensure seamless delivery of solutions.

- Collaborate with cross-functional teams, including data scientists, machine learning engineers, and product managers, to design and develop applications, and custom software tailored to specific business needs.

- Should have experience in developing with Microsoft Power Platforms.

- Should have strong understanding of application lifecycle management in Power Apps.

- Should be proficient in scripting languages like JavaScript.

- Should have familiarity with integrating Power Platforms with Azure services.

- Experience with Microsoft Power Virtual Agent (Copilot Studio).

- Excellent communication and teamwork skills.

- Apply full stack development skills, including frontend and backend technologies, to design, develop, and optimize applications and custom software, ensuring a seamless integration of machine learning models, user interfaces, and backend systems.

- Implement best practices for software development, including version control, testing, and continuous integration/continuous deployment (CI/CD).

- Develop and maintain technical documentation, including application design specifications, user guides, and support materials.

Qualifications we seek in you :

Minimum qualifications :

- Bachelor's or Master's degree in computer science, Engineering, or a related field.

- Excellent problem-solving, analytical, and critical thinking skills.

- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Preferred Qualifications/ skills :

- Knowledge of cloud computing platforms, such as AWS, and Google Cloud Platform, is a plus.

- Experience with big data technologies, such as Hadoop, Hive, or Presto, is a plus.

- Familiarity with machine learning frameworks, such as TensorFlow or PyTorch, is a plus.

- Strong analytical and problem-solving skills, as well as excellent communication and collaboration abilities.