Cellular Data & Automation Engineer

Apple is a leading technology company known for its innovative products and services. As a Cellular Data & Automation Engineer, you will develop new features for test automation systems and work on state-of-the-art data processing pipelines leveraging data science algorithms and machine learning models. You will collaborate with firmware engineering teams to enhance automation systems and improve product performance. Responsibilities: Develop new features to enhance the automation system based on the business’s needs; Develop and maintain real-time data processing pipelines to ensure processing accuracy and efficiency; Collaborate closely with AI/ML engineers to integrate new AI pipelines and ML models into the production system and ensure achieving expected results and efficiency; Integrate various internal tools and external tools into the existing automation system and/or data processing pipelines to enable new applications; Provide technical support for users and help troubleshoot issues to unblock projects Qualifications: BS and a minimum of 3 years relevant industry experience; 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). 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 Required Skills: Python, Pandas, Matplotlib, Relational databases, Postgres, Non-relational databases, MongoDB, SQL, Data visualization tools, Tableau, Data manipulation, Data querying, Data science algorithms, Machine learning models, Automation tools, Jenkins, Gitlab CI/CD, Data processing pipelines, Data cleaning, Data transformation, Programming languages - Java, Programming languages - C/C++, Creative thinking