Senior Data Engineer
Toronto, ON, CA Calgary, AB, CA Edmonton, AB, CA Montreal, Quebec, CA Vancouver, British Columbia, CA
Description
Our team and what we’ll accomplish together
Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.
You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.
As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next-generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high-quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.
You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.
What you’ll do
- Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
- Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
- Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
- Build expertise in the team to expose efficiency insights across data platforms in the cloud
- Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
- Implement automation and monitoring tools through a test-driven approach and mindset
- Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
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Qualifications
What you bring
- You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
- You are sought out for your 5+ years’ experience of data warehouses/cloud architectures and platforms implementation with experience implementing and performance tuning
- An expert understanding of data warehouses/cloud architectures and ETL processes
- Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
- Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
- Experience with Python and software engineering best practices
- Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
- Experience with data pipeline and workflow management tools such as Airflow
- Experience with Github and CICD processes
- Having a proven track record in leading data analytics platform projects
- Ready to work in new and challenging work environments
- Getting excited by the opportunity to build a team's capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
- Envisioning and delivering future technical roadmaps while inspiring others along the way
- Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
- Working in cross-functional teams with exemplary communication and coordination skills
- Proving your analytical skills with root cause analysis of issues
- Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo
- Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
Great-to-haves
- Post-graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
- Machine learning and data science knowledge
- Experience with Java in Cloud
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