Job title: Junior Big Data Engineer, Business Intelligence (6 Month Contract)
Company: CBC/Radio-Canada
Job description: Work at CBC/Radio-Canada
At the CBC, we all have a story to tell. What’s yours?
If you share our passion for Canadian storytelling and you wish to help us engage with individuals and communities across our various digital platforms, this is where you’ll want to be! Every day, you will have an opportunity to shape the way in which Canadians see themselves reflected in our digital services. Your work will have a direct impact on how millions of Canadians from various communities connect with our products, with one another, and with the diverse voices that make our country so unique.
You will have the opportunity to play a part in enlightening and entertaining Canadians through our innovative work in building the mediums that deliver our content. We are an innovative hub, where the talented professionals we work with are respected and valued for their contributions. Our product teams are vibrant and our work culture strives to achieve the highest standards of diversity and inclusion. We believe that hiring people with different career paths and backgrounds is fundamental in our shared success and in building healthy and highly performant teams. When you join our mission, you are not only shaping the vision of the CBC, but the future of our country.
Why is this role important?
To help maintain our existing data lake and further scale our Business Intelligence practice, we are seeking a junior Big Data Engineer to join our team on a six-month contract who will help manage our existing Azure Databricks environment and create new ETL pipelines. If you are making a career change, fresh out of school, or newly certified, this is a great opportunity to start your data engineering career and gain valuable work experience.
We are open to qualified candidates who reside within Canada, but the CBC’s BI team is based in Toronto with much of the big data engineering team based in Montreal.
The Business Intelligence team is connected to every facet of the organization as a strategic partner, data solutions provider, and catalyst supporting the CBC’s product, content, and operational decision-making with data.
Cross-functional and collaborative by nature, we work to ensure that objectives, strategies, and tactics across all departments in the organization are aligned and delivering value to Canadians. As a result, we work closely with various front and backend product teams; Content Units including News and Local Services; Customer Success; Marketing and Media Solutions; as well as our BI counterparts at Radio-Canada.
As our Big Data Engineer, you will be part of a major shift towards data-driven decision-making at an organization that’s eager to use data to drive the growth of audience-facing products such as Digital Publishing ( , , etc.), (Live and On-Demand Video) and (Digital Audio) as well as support the crucial work of our business-facing teams.
Our data engineering stack consists of a data lake in the Azure cloud (namely Azure Databricks and Delta Lake) as well as Airflow with a smaller footprint in the Google Cloud Platform. Our primary languages are SQL and Python.
Here’s why we should work together:
Our digital teams’ values – collaboration, learning, and continuous improvement – embody who we are as a people-focused, digital-forward employer. We follow lean startup principles and use an Agile approach. Our dedicated people managers work closely with every individual to ensure we are leveraging their strengths, championing their ideas and supporting their pursuit of new skills and their desired career progression.
Here at CBC Digital Strategy & Products, we want you to be happy and feel good at work. It is essential that work be a safe space where our employees are able to share their authentic selves with one another and to push each other to challenge conventions.
Perks you can look forward to:
Hybrid work environment with flexible work schedules, allowing you to prioritize yourself, your family and your work (Note: we are fully remote at this time);
Opportunities to work with cutting edge technology;
Opportunities for continued learning and professional development;
Opportunities to become a member of our Employee Resource Groups;
Pair programming and mentorship opportunities, where you can learn from the best in the industry and help coach new talent;
A creative and dynamic work environment, where your ideas and contributions can be heard, valued and respected;
A supportive management team committed to upholding the highest standards of diversity and inclusivity;
An environment which favours experimentation and an iterative approach in order to achieve the highest form of technical innovation.
How you will make an impact:
The CBC’s digital footprint is one of the largest in Canada which means you will have the opportunity to work with one of the largest datasets in Canada as well as one of the country’s most visible and highly respected companies.
The BI team is a high performing team that has transformed how the CBC thinks about its data, audience, and products. Our big data engineering practice is rapidly growing and you will be a key player in shaping this process.
You will be given a large amount of opportunities to ingest new data sources which will be used not only by the analysts on the BI team, but as well as data professionals on other teams including other fellow data engineers. Your work is essential to making our data lake run like a service and core business system.
You will be part of an established but growing big data engineering practice, with many opportunities to work alongside our counterparts at Radio-Canada. Your contributions are guaranteed to be felt by many, both in and out of the BI team.
Qualifications
We are looking for a candidate with the following:
What you could bring to our team:
The expertise. You have a data engineering certification in at least one cloud environment, preferably Azure. You have some familiarity with PySpark and have built at least one end-to-end data engineering solution such as an ETL pipeline.
The technical skills.
Familiarity with the Azure and Google cloud environments, especially Azure Databricks, BigQuery, Azure Data Lake Storage, Azure DevOps
Familiarity with big data / distributed computing platforms and practices, especially Spark
Experience with workflow automation & management tools, especially Apache Airflow
Creating clean code in SQL and Python
Experience with very large datasets (millions or billions of rows)
Creating data pipelines using APIs as well as flat files
Experience with structured, unstructured, and semi-structured data
Experience with batch-processed data as well as streaming data
The drive. You thrive in an autonomous and ambiguous environment that rejects “business as usual.”
The right attitude. You enjoy working with people and sharing your knowledge with them in a collaborative way. You approach things with a beginner’s mind and are constantly curious and learning.
The communication skills. You are skilled at presenting ideas to non-technical stakeholders. You know how to listen and empathize with others. You are fluent in English and are an excellent verbal and written communicator.
The education. We are less interested in formal degrees, but you may be a good fit if you have a certification in big data engineering in the Azure and Google stacks. You might also have an academic background in Computer Science, but we value know-how over theoretical knowledge.
Qualified candidates may be subject to a practical assessment of the above requirements.
Assets:
Experience with data architecture and building robust and clean data models
Experience with Continuous Integration / Development pipelines (CI/CD)
To Apply:
At the CBC, we recognize that not everyone takes the same path when it comes to building their skills. We value diversity of thought and of experience, and we are excited to hear from you! Hands-on experience, intelligence, innovation, a passion for learning, and a team-focused approach can combine to form the best set of qualifications. If you feel you meet most of the qualifications and you are excited by the possibility of adding to the rich culture of the CBC, take a chance and express your interest by applying now!
If you’re interested in reading more about the various backgrounds of the talented people that make up our teams, our exciting new projects, and what we’re currently working on, check out our blog on Medium!
If this sounds interesting, please click on ”Apply online”. We thank all applicants for their interest, but only candidates selected for an interview will be contacted.
CBC/Radio-Canada is committed to being a leader in reflecting our country’s diversity. That’s because we can only create and tell the stories that connect Canadians, by having a workforce that mirrors the ever-changing makeup of our country. That’s why we, as an employer, value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada’s public broadcaster. For more information, visit the section of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by sending an e-mail to recruitment@cbc.ca.
You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our . All employees must adhere to the Code as a condition of employment. We also invite you to take a look at our policy on . In the event that you become an employee, it will be important to inform us, as quickly as possible, of any situation that, because of your hiring, constitutes or could appear to constitute a conflict of interest.
Expected salary:
Location: Toronto, ON
Job date: Thu, 23 Sep 2021 03:15:03 GMT
Apply for the job now!