As a Data Engineering Intern, you will work closely with our data engineering team to design, develop, and maintain large-scale data systems, focusing on external data used in P&C insurance. You will have the opportunity to work with cutting-edge technologies, including Python, SQL, PySpark, and Big Data tools.

Responsibilities:

Assist in designing, developing, and testing data pipelines using Python, SQL, and PySpark Work with large datasets to optimize data processing and storage Collaborate with data scientists and analysts to integrate data insights into our products Participate in code reviews and contribute to the improvement of our data engineering practices Learn and adapt to new technologies and tools in the data engineering ecosystem Currently pursuing a degree in Computer Science, Information Technology, or a related field.Proficiency in Python programming language.Familiarity with SQL and database conceptsStrong problem-solving skills and attention to detailExcellent communication and teamwork skillsAbility to learn quickly and adapt to new technologies

Desirable:

Experience with PySpark and Big Data technologies (e.g., Hadoop, Spark)Experience with cloud-based data platforms (e.g., AWS, GCP, Azure)Familiarity with data warehousing and ETL conceptsKnowledge of data governance and security best practicesExperience with Agile development methodologiesFamiliarity with commercial Property & Casualty (P&C) insurance