Senior Software Engineer - Data Science & Analytics

About Business Unit:

The Data Science & Analytics team is an integral part of Skyworks’ Technology and Manufacturing Group, responsible for advanced technology development, central engineering, quality, manufacturing operations, sourcing, and supply chain. Our mission is to drive digital transformation across all aspects of the business. This is an exceptional opportunity to play a pivotal role in the rapidly evolving semiconductor industry. The Data Science & Analytics team is dedicated to empowering business users with cutting-edge tools and technology to facilitate information discovery and analysis.

Position Summary:

As a Senior Software Engineer within the Data Science & Analytics team, you will play a critical role in supporting, administering, developing, and deploying new and existing data analytics tools and technologies. These tools are designed to facilitate information discovery and analysis, with a primary focus on manufacturing data from both internal and external factories. You will collaborate closely with engineers across functional teams and locations to drive data-driven decision-making processes.

Job Responsibilities:

In this role, your key responsibilities will include:

• Developing, enhancing, testing, and deploying advanced analytics solutions. This involves creating software, scripts, templates, and other tools to continually improve information discovery and analysis capabilities for business users.
• Monitoring and administering commercial and internally developed software tools, ensuring their reliability and efficiency.
• Providing training and support to business users, both locally and remotely, to ensure they can effectively utilize the analytics tools.
• Creating and maintaining user and administrative documentation as needed to support the tools and technologies in use.
• Participating in or leading projects focused on the development and deployment of new tools and technologies for information discovery and analysis.

Qualification and Education Requirements:

To excel in this role, you should possess:

• A Master's or PhD degree in Data Science, Data Analytics, Computer Engineering, Electrical Engineering, or a related field.
• A minimum of 3 years of relevant experience, demonstrating your expertise in data analytics and software development.
• Strong backend programming skills using languages such as Python, Java, C++, or C#.
• Knowledge of software architecture, design patterns, and system design, ensuring scalable, efficient, and robust solutions.
• Experience with database systems like PostgreSQL, MongoDB, or similar.
• Proficiency in writing Unit tests and Integration tests to ensure software quality.
• Familiarity with Agile methodologies and the Scrum development process.

Preferred Skills:

While not mandatory, the following skills and experiences would be highly advantageous:

• Frontend development experience using technologies like Node.js, React, or Angular.
• Expertise in cloud infrastructure and DevOps practices, utilizing tools like Kubernetes, Docker, CI/CD pipelines, and more.
• Previous exposure to manufacturing data analytics, showcasing your ability to work with semiconductor manufacturing data.
• Knowledge of semiconductor manufacturing processes, enabling you to understand the intricacies of the industry.

Join Our Team:

Become a part of our dynamic Data Science & Analytics team and contribute to the digital transformation of the semiconductor industry. Your expertise in software engineering and data analytics will play a crucial role in empowering our business users with the tools they need to make data-driven decisions and drive our company's success.

If you are passionate about data, analytics, and software engineering, and you thrive in a collaborative, forward-thinking environment, we invite you to apply and be a key player in our journey towards innovation and excellence.