Job Title: Data Engineer Intern

Location: Vancouver
Duration: 3-6
Salary: 18-22 USD / hour

Position Overview:
As a Data Engineer Intern, you will work alongside experienced data engineers to assist in the design, development, and maintenance of our data systems and infrastructure. You will gain hands-on experience in working with large datasets, building data pipelines, and using tools and technologies for data processing and analysis. This internship is an excellent opportunity to learn and apply your skills in a professional environment while contributing to important data projects.

Key Responsibilities:

• Assist in the design, implementation, and maintenance of data pipelines.
• Help with data ingestion, transformation, and integration tasks.
• Support the creation and optimization of databases, queries, and storage solutions.
• Collaborate with data scientists and analysts to ensure data is available and usable for analysis.
• Perform data cleaning, validation, and preprocessing.
• Write scripts and tools to automate data-related tasks.
• Troubleshoot and resolve data-related issues in the system.
• Document processes, procedures, and project progress for future reference.

Requirements:

• Currently pursuing a degree in Computer Science, Engineering, Mathematics, or a related field.
• Basic knowledge of SQL and database management.
• Familiarity with programming languages like Python, Java, or Scala.
• Understanding of data structures and algorithms.
• Exposure to cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.
• Excellent communication skills and attention to detail.

Preferred Skills:

• Experience with data visualization tools like Power BI or Tableau.
• Familiarity with Big Data technologies such as Hadoop or Spark.
• Knowledge of version control tools like Git.

What Youll Gain:

• Hands-on experience with data engineering tools and platforms.
• Mentorship from experienced data engineers.
• Opportunity to work on real-world projects that impact business outcomes.
• Exposure to cutting-edge technologies and methodologies in data engineering.

Application Process:
Interested candidates should submit their resume and a cover letter outlining their interest and relevant coursework or project experience.