Data Pipeline Developer Co-op

Calgary

Teck Resources

Teck is a leading Canadian resource company focused on responsibly providing the metals essential for global development and the energy transition while caring for the people, communities and land that we love.

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Application Deadline: Monday, January 27, 2025 (we will review applications on a rolling-basis) Duration: 8 months Positions Available: 1Start Date: Monday, May 5, 2025For this exciting position, we are specifically targeting students who have a background in Computer Science, Mathematics, Statistics and Engineering and who possess coding experience and demonstrate an enthusiastic curiosity towards the following areas: data engineering, data visualization, cloud computing, and mining technologies. Depending on the needs and location of the team, you will need to work PDT or MDT or relocate to a specific office (site-based). You must also currently be a student enrolled in a Canadian post-secondary institution and will be enrolled throughout the duration of the co-op term (you will also be returning back to the post-secondary institution once the co-op term is completed). Proof of a valid work permit will also be required, if applicable.   Don’t miss out on this exciting opportunity to be part of one of Canada’s leading mining companies and join our team!  Why consider Teck Resources Limited for your Co-op Placement? At Teck, we offer more than just a job – we provide a comprehensive student experience comprised of relevant, hands-on work, vibrant social activities, extensive networking opportunities, and rich professional development. With captivating projects set against stunning backdrops, a culture of inclusivity and collaboration, and boundless opportunities to learn, grow, and have fun, joining us means embracing a fulfilling and dynamic co-op adventure. 

In addition to excellent compensation, Teck co-ops receive a variety of advantages including but not limited to:  

  • Financial assistance to help with travel costs and co-op fees 
  • Opportunity to develop technical skills and gain practical experience while applying academic knowledge to real-world mining operations and projects 
  • Enjoy mentorship and guidance from experienced specialists in their respective fields 
  • Receive primary consideration for professional positions upon graduation 

Responsibilities

  • Be a courageous safety leader, adhere to and sponsor safety and environmental rules and procedures
  • Design, build and deploy Data Pipelines on Azure for Operational Data including Historian time series data, SQL server databases and unstructured data sources
  • Solve sophisticated technical problems with legacy systems to overcome technical roadblocks preventing data migration to the cloud platform
  • Conduct detailed validation of pipeline data, prioritizing data delivery, security, and quality to maintain integrity and confidentiality
  • Provide and develop monitoring and performance metrics for data-pipelines to measure and ensure performance KPIs are met
  • Maintain application and system documentation
  • Facilitate and support incident response and forensics for pipelines on Azure   

Qualifications

  • Preference will be given to students with diverse educational backgrounds, including Computer Science, Mathematics, Statistics and Engineering
  • Coding experience in Python, SQL, C# is an asset
  • Experience with cloud platforms is an asset and a variety of technology backgrounds is valued
  • Knowledge and experience with working in Agile is an asset 
  • Proficient in both independent work and collaborative teamwork, encouraging an inclusive and diverse environment
  • Proven ability to learn new technologies and platforms quickly, accurately, and efficiently
  • Ability to communicate with precision in a technical environment
  • Able to articulate sophisticated concepts clearly and in a way a diverse audience would understand
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Azure Computer Science Data pipelines Data visualization Engineering KPIs Mathematics Pipelines Python Security SQL Statistics Unstructured data

Perks/benefits: Career development

Region: North America
Country: Canada

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