Data Engineering & ETL Intern – Data Pipelines

About the Company

Atlantic Data Systems is a leading technology firm based in Atlantic Canada, specializing in data solutions, analytics, and robust infrastructure development. We partner with clients across various industries, from energy to healthcare, to transform complex data into actionable insights. Our commitment to innovation and nurturing new talent drives our success, making us an ideal environment for aspiring data professionals.

Job Description

We are seeking a highly motivated and enthusiastic Data Engineering & ETL Intern to join our dynamic team. This entry-level position is perfect for individuals eager to kickstart their career in data engineering and gain hands-on experience with real-world data pipelines and ETL processes. You will work alongside experienced engineers, contributing to the design, development, and maintenance of our data infrastructure. This internship offers a unique opportunity to learn about data warehousing, data modeling, and how to build efficient, scalable data solutions from the ground up.

Key Responsibilities

  • Assist in the development and maintenance of ETL (Extract, Transform, Load) processes.
  • Support the design and implementation of data pipelines for various projects.
  • Learn to write and optimize SQL queries for data extraction and manipulation.
  • Collaborate with data engineers to troubleshoot and resolve data-related issues.
  • Participate in data quality assurance activities and contribute to documentation.
  • Explore new data tools and technologies under the guidance of senior team members.

Required Skills

  • Basic understanding of relational databases and SQL.
  • Familiarity with at least one programming language (e.g., Python).
  • Strong analytical and problem-solving skills.
  • Eagerness to learn and adapt to new technologies.
  • Excellent communication and teamwork abilities.
  • Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.

Preferred Qualifications

  • Previous academic project experience with data manipulation or scripting.
  • Exposure to cloud platforms (e.g., AWS, Azure, GCP).
  • Familiarity with version control systems like Git.
  • Understanding of data warehousing concepts.

Perks & Benefits

  • Structured mentorship program.
  • Hands-on experience with cutting-edge data technologies.
  • Opportunity to contribute to real-world projects.
  • Professional development workshops and learning resources.
  • Collaborative and supportive team environment.
  • Potential for future full-time employment.
  • Flexible hybrid work model.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

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