Data Engineer - Data Science Platform
Toronto, Canada
Applications have closed
Loblaw Digital
Trying new things, poking holes in old things and making great things even better for Loblaw Companies Ltd. From websites, apps and loyalty programs, to delivery services and everything in between. We bring digital experiences to life, solving...As a Data Engineer on the Data Science Platform team, you will be responsible for building the best digital online shopping experience globally. Your mandate will be to ship products, features, and experiences that offer millions of Canadians a delightfully simple, personalized, and convenient online grocery shopping experience and you will measure your success with KPIs that include adoption, conversion, and retention. You will use data every single day to uncover meaningful insights that inform your experimentation strategy and ultimately, your product roadmap.
What You Will Do
- Implement data pipelines to ingest, clean, aggregate, and integrate data from various data sources
- Work with Google Cloud Platform and distributed computing tools such as Cloud DataFlow, DataProc, BigQuery, BigTable, Composer (Apache Airflow), Kubernetes, Docker, VertexAI
- Work with streaming data platforms such as Cloud Pub/Sub and Kafka
- Support business decisions with ad hoc analysis as needed, and communicate findings to senior management
- Mentor and support other team members
Does This Sound Like You?
- Degree in a computing-related discipline such as Computer Engineering/Science, or equivalent work experience
- At least 2 years of software development experience
- Strong software development proficiency using Python, Java, and SQL
- Strong understanding of big data and distributed computing concepts with hands-on experience using related technologies
- Creative problem solver, resourceful in getting things done, and productive working independently or collaboratively
- Strong passion for analytics and data mining to drive business decisions
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. You will get to work with some of the best digital minds and will have the support of world class technologies to craft products our customers will love!
Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Big Data BigQuery Bigtable Dataflow Data Mining Data pipelines Dataproc Docker E-commerce Engineering GCP Google Cloud Kafka KPIs Kubernetes Pipelines Python SQL Streaming
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