Data Engineer

Data Engineer

ABOUT THE ROLE AND OUR TEAM:  

As a member of the Tracking Architecture team, you will work with both business and technology stakeholders to implement the website/mobile application tracking strategy. Supporting the technical design, construction, delivery, and maintenance of TKWW’s event-based reporting tools. The perfect candidate takes a methodical approach to addressing tracking needs for the organization and is focused on balancing business needs with technical impact. You also have front-end experience, but a passion for understanding how front-end work intertwined with business and product objectives.

 

RESPONSIBILITIES:

 

  • Work closely with Data Analytics, Data Science, and Product teams to identify and gather requirements for tracking on TKWW websites and mobile applications
  • Work closely with developers and digital product owners to implement the event architecture and conduct necessary quality assurance checks
  • Responsible for maintaining documentation from the Tracking Architecture team via Confluence
  • Work on ad-hoc basis to implement additional tracking to support advertising and marketing journey tags
  • Provide general troubleshooting assistance for the analytics team as well as provide guidance for data integrity issues
  • Work with development teams to ensure analytics tracking QA during production cycles
  • Perform routine quality assurance checks to guarantee clean data for the Analytics team
  • Support a data-driven culture and strong collaboration with cross functional teams
  • Help Product, Marketing, & Development teams define user actions and the important meta-data associated with those actions
  • Enable user clicks and similar interactions to pass through to downstream services or warehouses
  • Documentation and Governance

 

 

SUCCESSFUL DATA ENGINEER CANDIDATES HAVE:

 

  • 2-3 years experience with event streaming, messaging between microservices, and data streaming and messaging services like Apache Kafka, Amazon Kinesis, or Segment, Rudderstack
  • Exposure to tag management systems, such as Adobe Dynamic Tag Management (DTM), Google Tag Manager, etc.
  • Understanding of web metrics, KPIs and tracking variables
  • Knowledge of SQL Server and language frameworks
  • Experience with front-end web or analytics development tools
  • Exposure to Tag audit and session replay tools such as Tag inspector, Tealeaf, Fullstory, etc.
  • Understanding of testing and optimization platforms (Adobe Target, Optimizely, etc.)
  • Understanding of Data Management Platforms (DMP) such as Adobe, BlueKai, etc.
  • Understanding of Mobile SDK tools for reporting (i.e. Google Firebase)
  • Understanding of ETL and ELT processes
  • Understanding of Customer Data Platforms (CDP) and their usefulness

 

 

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