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Apple Cellular 4G/5G Firmware Data & Automation Engineer United States, California, San Diego 496206496
Today
The Data & Automation Engineer will be responsible for developing new features to enhance the test automation system for improving test efficiency and stability. Furthermore, you will be participating in developing state-of-the-art data processing pipelines and improving data science algorithms & machine learning models to parse extensive data and logs in a timely manner to automatically solve the issues or provide recommendations for the next step. In addition, you will closely partner with the firmware engineering teams in integrating and deploying models and a data processing pipeline as part of the entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with an amazing team, brainstorm new ideas, and develop models and algorithms to solve complicated problems that have a meaningful impact.
- BS and a minimum of 3 years of relevant industry experience is required.
- Proficient developer with 3+ years proven programming skills using Python, Pandas, Matplotlib and other key related tools.
- Solid knowledge and experience with relational database (e.g Postgres) and non-relational database (e.g.Mango DB). The ability to write complex queries with SQL is required.
- Experience with dashboards and interactive reports. Proficiency in data visualization tools (such as Tableau) and a strong understanding of data manipulation and querying using SQL and Python together.
- Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and the reduction of manual processes.
- Master’s degree in data science or computer science or machine learning is preferred.
- Proficient in scripting or programming languages such as Python, Java, C/C++ with 5+ years proven programming skills.
- Advanced SQL skills with ability to write complex joins and nested queries.
- Proficiency in data visualization tools (such as Tableau, D3) and strong understanding of data manipulation and querying using SQL and Python together.
- Experience with dashboards and interactive reports. Ability to work with large datasets and conduct data cleaning and transformation.
- Experience with automation tools and frameworks, e.g. Jenkins, Gitlab CI/CD.
- Ability to leverage data science algorithms and machine-learning models to solve various kinds of issues.
- Experience in utilizing analytics and statistical methods to transform data into useful insights and actionable results.
- Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and the reduction of manual processes.
- Strong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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