Data Engineer - Intern

Who Are We

Role Overview

What You’ll Do

• ETL Pipeline Development: Design, build, and maintain foundational ETL (Extract, Transform, Load) processes to ingest and normalize data from diverse sources, including vehicle sensors, user applications, JSON/CSV files, and external APIs.
• Data Analysis & Trend Discovery: Perform exploratory data analysis to uncover trends, patterns, and anomalies in large datasets. Your insights will directly influence product strategy and development.
• Insight Visualization: Develop and manage interactive dashboards, reports, and data visualization applications to communicate key findings and performance metrics to both technical and non-technical stakeholders.
• Data Infrastructure: Assist in setting up and managing scalable data storage solutions, ensuring data integrity, security, and accessibility for analysis.
• Cross-Functional Collaboration: Work closely with engineering and product teams to understand data requirements and help integrate data-driven decision-making into all aspects of our operations.
  

Who Can Apply?

• Strong proficiency in Python and its core data manipulation libraries (e.g., Pandas, NumPy).
• Solid understanding of SQL for querying and managing relational databases.
• Demonstrable experience in parsing and handling common data formats like JSON and CSV.
• Excellent analytical and problem-solving skills with a meticulous attention to detail.
• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field.
  

Preferred Qualifications (What Will Set You Apart)

• Hands-on experience with at least one major cloud platform (e.g., AWS, Google Cloud Platform).
• Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn, Plotly) or business intelligence tools (e.g., Tableau, Power BI).
• Basic understanding of machine learning concepts.
• Previous experience working with REST APIs to retrieve data.
• A genuine interest in the electric vehicle (EV) industry, IoT data, or sustainable technology.
  

What’s In It For You

• Invaluable hands-on experience building a data ecosystem from scratch in a high-growth, cutting-edge industry.
• The opportunity to apply your skills to real-world challenges by working with large-scale, complex datasets.
• A chance to develop a versatile skill set across the entire data lifecycle, from engineering and pipeline development to advanced analysis and visualization.
• The ability to make a direct and tangible impact on a product that is shaping the future of mobility.