Reliability Data Engineering Intern

Summary: This internship offers a unique opportunity to be part of a transformative team, working on critical projects that integrate and enhance data-driven strategies within our company. Our internship program, designed to revolutionize the way we manage and analyze data across various sectors of our operations. As an intern, you will be at the heart of our strategic initiative to centralize data sources, ensuring that information from our Fab, Reliability, and Electrical Testing (ETest) departments is integrated seamlessly. This initiative is crucial for providing a unified view of data, enhancing decision-making processes across the board.   Project and responsibilities:   Data Source Centralization: As part of the internship, depending on the progress made, you will be assigned tasks addressing business needs related to Reliability data, or potentially integrating data from all three sources—Fab, Reliability, and ETest. Your responsibilities will include identifying the necessary data, key stakeholders, and establishing the required data connections using DBT and Dagster tools.   Data Visualization and Analysis: You will collaborate closely with key stakeholders to develop essential data visualizations and create pipelines that cater to these requirements. This role is crucial for transforming raw data into actionable insights through visual representations.   Reporting, Documentation, and Monitoring: Throughout your internship, you will finalize the visualizations and data pipelines as needed. You are expected to document your processes and insights thoroughly. At the conclusion of your internship, you will present your findings and the work you've accomplished, showcasing the impact of your contributions on the organization’s data handling capabilities.   Responsibilities: Develop scripts to automatically ingest data into GCP. build dashboards that allows users to select datasets, apply filters, and retrieve data without needing SQL knowledge. Create pre-built, parameterized query templates for common data retrieval scenarios. Provide clear documentation on how to use the query templates and any additional scripts. Data should be stored, structured, and queried such that computation and retrieval is minimized   Required Qualifications: Degree Program: M.S or B.S in Computer Science, Data Science, Math, or related fields Minimum GPA: 3.5 Current Status: Senior Skills & Coursework: SQL, Python, Dashboarding Experience (Grafana, Tableau, or PowerBI), Excel, GIT, Basic Forecasting US Citizenship required