Data Engineer

Responsibilities:

• Build pipelines to manage audience data for personalized marketing campaigns, integrate audience data from various sources to build one view of the customer.
• Perform experimentation at scale by tagging audiences based on complex hierarchy of customer, product, and regional factors.
• Responsible for development of the workflow orchestration & ETL pipelines within marketing's analytics and data science platforms. You will ensure that the data pipeline infrastructure meets the analysis, reporting, and data science needs of the marketing organization.
• Implement continued design, development and optimization of the marketing data pipelines & data prep infrastructure built on cutting-edge cloud technologies.
• Create data architecture that is flexible, scalable, and consistent for cross-functional use, and aligned to stakeholder business requirements. 

Key Skills:

• Strong programming skills.
• Particularly in languages.
• Python, Java, Scala, and SQL.