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Remote Data Engineer Intern

$20 - $22 per hour

Ace1media

Job Title: Data Engineer Intern

Location: Vancouver (Remote)
Duration: 4-8 Months
Salary: 20-22 CAD / hour

About the Company:

Join our exciting team, where innovation and collaboration are key to our success. Over the last six months, weve experienced tremendous growth, quadrupling our staff and continuing to scale rapidly. With a year-over-year revenue growth of 3x and a net profit increase of 4x, we are on an exceptional trajectory that reflects our commitment to excellence and innovation.

As part of our growing team, you'll have the chance to make a significant impact on the company's development. We believe every team member's voice is important, and we encourage you to share your ideas and help shape the companys direction. We are looking for individuals who are not only passionate about their work but who are also eager to grow into leadership roles within the company. With an open-door policy, youll work closely with top management, receive valuable mentorship, and have the opportunity to influence key business decisions. This is your chance to contribute to something meaningful and be a driving force behind the companys growth!

Position Overview:

As a Data Engineer Intern, you will work closely with an experienced data team to assist in designing, developing, and maintaining our data systems and infrastructure. This internship provides hands-on experience with large datasets, building data pipelines, and using tools for data processing and analysis. At our company, you wont just be learning the ropes you'll be contributing to projects that impact business decisions. Youll receive mentorship, training, and be an integral part of our journey.

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 the team 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.

  • Experience with managing and optimizing ETL (Extract, Transform, Load) processes.

  • 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.

  • As a startup, we value your input. You'll be given the chance to contribute innovative ideas, which could help steer the direction of our data systems and business strategies. You'll work directly with leadership and have a unique opportunity to develop both professionally and personally.

Application Process:

Interested candidates should submit their resume and a cover letter outlining their interest and relevant coursework or project experience. We look forward to seeing how you can contribute to our company's growth and success while gaining invaluable hands-on experience.

Vacancy posted 29 days ago
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