Senior Data Engineer Full-time Job
Oct 1st, 2024 at 16:12 IT & Telecoms Toronto 61 views Reference: 9446Job Details
We are seeking an experienced Data Engineer to join our team. The Data Engineer will play a critical role on the CTC Personalization & Customer Analytics team, reporting into the Promotions Technology manager. Leveraging the latest data technologies and advanced analytical techniques, this team designs, develops, and automates customer-facing data products and services. Made up of data engineers, developers and analysts, the team is laser-focused on creating a portfolio of best-in-class products and services that fuel customer-focused analytics and enhance customer and brand experience.
Data is your strong suit. You are technically minded, detail-oriented and keep updated on automation trends. You communicate effectively to different audiences, and you can build strong cross-functional partnerships to drive collaboration and innovation. In this role, you will:
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Understand the business case for data and the stakeholders’ requirements to support work processes and strategic business objectives
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Develop and optimize existing and new data products
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Design and implement data pipelines to monitor, validate model assumptions and performance adhering to best-in-class coding standards
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Develop and optimize existing and new data pipelines to standardize and automate
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Identify and troubleshoot technical issues as they arise with an entrepreneurial mindset, and provide scalable resolution with follow-through
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Work on ad-hoc projects that leverage multiple internal and external sources of data such as sales, inventory, cost, digital analytics, loyalty, driving patterns, etc.
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Work with IT and business stakeholders to influence decision making with data and data products
What you bring
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B.S. in Engineering, Science, Mathematics, Statistics or Computer Science. Equivalent experience also considered.
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3+ years of professional work experience in data domain
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Strong knowledge of SQL to perform complex data analysis
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Strong command of statistics
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Ability to translate business requirements into technical analytical specifications
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Balance of technical and business acumen, including modeling and strategic business case development
Bonus points if you have experience with:
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Python or another language to transform and process data
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Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or other tools
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Data technologies and analytics platforms such as Knime, Hadoop, Azure, GCP, Big Query, Power BI, Data Studio, Airflow, Snowflake, etc.
Hybrid
We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.
time left to apply
End Date: October 23, 2024 (21 days left to apply)
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