Cellular Data & Automation Engineer

Apple • San Diego, CA

18h

About The Position

As a Data & Automation Engineer, you will be responsible for developing new features to enhance test automation system for improving test efficiency and stability. Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms & machine learning models to parse massive data and logs in timely manner to automatically solve the issues or provide recommendations for the next step. In addition, you will be closely partnering with FW engineering teams in integrating and deploying models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with amazing team, brainstorm new ideas, and develop models and algorithms to solve complicated problems that have a substantial impact.

Requirements

• Minimum requirement of a bachelors degree
• Proficient developer with 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).
• 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 reduction of manual processes.

Nice To Haves

• 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 3+ years of proven programming skills.
• Advanced SQL skills with the 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 reduction of manual processes.
• Strong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies.

Responsibilities

• Developing new features to enhance test automation system for improving test efficiency and stability.
• Participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms & machine learning models to parse massive data and logs in timely manner to automatically solve the issues or provide recommendations for the next step.
• Partnering with FW engineering teams in integrating and deploying models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues.
• Brainstorm new ideas, and develop models and algorithms to solve complicated problems that have a substantial impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees