Internship – Data Engineering

Job title: Internship – Data Engineering

Job description: Internship – Data Engineering

• Rio Tinto was named Canada’s Top 100 Employer and one of Canada’s Top Employers for Young People for 3 consecutive years
• Diverse & challenging projects with our PACE Analytics team
• Learn and gain exposure to the state-of-the-art data science solutions
• 4-month summer 2022 internship opportunity, with possibility to extend

About the roles
We are looking for a motivated Data Engineering Internto work with challenging and exciting analytics problems and make a positive impact to the business, while learning and engaging with a global team of technology experts and engineers. This will involve gaining substantial experience working with our data systems to develop state-of-the-art data science solutions for our business’s data problems.

In this role, you will support the PACE Data Analyticsteam to design and continually improve services that solve business problems and provide insight to making improved decisions. As part of the Data Engineering team, you will participate, learn and be exposed to:

• Design, build, integrate data from various resources, and manage big datasets for data scientists
• Engineer data pipelines from source systems to predictive models
• Develop software engineering best practices in extending Machine Learning (ML) prototypes into fully functional and polished end-products.

You will also support the teams to:

• Ensure best in class processes and techniques to develop and deploy data analytics solutions to the business
• Ensure the quality assurance and quality control of all data analytics products released to the business
• Capture and record the intellectual property generated.
• Share what has been developed in GitHub to help foster a new generation of data driven decision makers and enable them to improve upon what has already been done

• Engage with clients and key stakeholders to build their understanding of data analytics
• Foster an innovative and “disruptive” technology culture to identify and drive value creating opportunities

About you
To succeed in this role, you will have:

• Completed 3+ years in a bachelor or master’s degree* in software engineering, computer science, or substantial experience and demonstration of equivalent skills
• Excellent coding skills and experience using Python (including NumPy, SciPy, pandas)

• Comfortable writing complex SQL queries.
• Experience working in a “big-data” environment (Hadoop/EMR, Hive, Glue, Athena, Lambda, Redshift, etc.)
• Experience working with Cloud platforms such as AWS or Azure
• Advanced knowledge of English, written and spoken. Bilingual (English & French) an asset.
• Excellent communication, presentation and interpersonal skills

Additional desirable skills

• Familiarity with the agile development process
• Linux workstation and administration capabilities, including comfort working at the command line or over SSH.
• Basic Understanding on data storage technologies and formats, data modeling, ETL tools and API integrations.
• Basic understanding of web markup including HTML5, CSS3, client-side scripting and JavaScript frameworks

What’s on offer

• A safety-focused and inclusive working environment
• A competitive salary
• An exciting and rewarding experience
• Opportunity to build relationships with the Rio Tinto team and community

• A great chance to prepare yourself to join our Graduate Development Program

Where you’ll be working
The PACE Analytics team is focused on improving performance through smarter ways of working by driving an innovative and “disruptive” technology culture. By partnering with Rio Tinto product groups and functions, our team is developing innovative ideas to solve problems and enable better decisions through data analytics. The role is based at the Montreal office.

Data Science and Data Engineering roles have diverse, multi-industry backgrounds and comprehensive skills in the fields of data modelling, engineering, and visualization as well as advanced analytics techniques including machine learning and optimization. These skills are used to turn data into information that can be used to make improved decisions and generate competitive advantage for Rio Tinto.

Every Voice Matters

At Rio Tinto, we particularly welcome and encourage applications from Indigenous Peoples, women, the LGBTQIA2 community, mature workers, people with disabilities and people from different cultural backgrounds.

We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different.

We are seeking to increase the diversity across our operations in order to improve equal opportunity outcomes for our employees and encourage female applicants to apply.

Please note, in order to be successfully considered for this role you must complete all pre-screening questions

All progress begins with pioneers – at Rio Tinto, it begins with you.

#graduate

Company: Rio Tinto

Expected salary:

Location: Montreal, QC

Job date: Wed, 17 Nov 2021 23:42:07 GMT

Job Source: Careerjet.ca

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