Senior Data Engineer
What you'll do
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 :
Understand the business case for data and the stakeholders’ requirements to support work processes and strategic business objectives
Develop and optimize existing and new data products
Design and implement data pipelines to monitor, validate model assumptions and performance adhering to best-in-class coding standards
Develop and optimize existing and new data pipelines to standardize and automate
Identify and troubleshoot technical issues as they arise with an entrepreneurial mindset, and provide scalable resolution with follow-through
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.
Work with IT and business stakeholders to influence decision making with data and data products
What you bring
B.S. in Engineering, Science, Mathematics, Statistics or Computer Science. Equivalent experience also considered.
3+ years of professional work experience in data domain
Strong knowledge of SQL to perform complex data analysis
Strong command of statistics
Ability to translate business requirements into technical analytical specifications
Balance of technical and business acumen, including modeling and strategic business case development
Bonus points if you have experience with :
Python or another language to transform and process data
Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or other tools
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.
LI-GM1
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