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Data Engineer with Adobe CDP experience | Remote |

Work from home Full-time role Hiring

Data Engineer with Adobe CDP Experience | Remote Data Engineer with Adobe CDP experience Senior Developers with experience with data analysis, pipeline development, and Adobe Marketing Cloud solutions. No of contractors - 1 Need to start from - To be confirmed. Anticipated tenure: We will start with two months and can extend it based on progress. Role: Senior Data Engineer - AEP/CDP/CJA infrastructure Title: Senior Data Engineer, Web Infrastructure & Technology Investment Area: OHC & Managed Cloud Services Initiative/Program: Support AEP,CDP,CJA, personalization across system Senior Data Engineer, Web Infrastructure & Technology Job summary: As a Senior Data Engineer on the Marketing Technology team, you will help deploy and maintain scalable combinations of people, process, and technology that ensure best practices in campaign planning / execution, lead generation, segmentation, and data management. You will be expected to stay abreast of industry and technology trends, write detailed technical documentation, troubleshoot issues, and continuously enhance our marketing infrastructure. You will be working in a fast-paced environment managing multiple projects at once, which involve stakeholders from across the company. This role will augment our investment in a centralized Customer Data Platform (CDP). The team will focus on realizing value from disparate data sets and partnering to identify trends in contact activity in order to build valuable customer experiences. Collaboration with internal business stakeholders to enable data-driven decisions for managing the end to end web visitor and customer life cycle will be paramount. Proficient skill sets in data analysis, data mining and development concepts for fairly large and disparate data sources and has experience supporting critical platforms within the Adobe Experience Platform. Primary Job Responsibilities:

  • Deploy pipelines and infrastructure in both proof of concept (POC) and production form to support the CDP initiatives
  • Partner with internal and external stakeholders to support combinations of platforms and infrastructure across the organization
  • Work with analysts and their data sets in SQL, Python, R to optimize and troubleshoot ways to ingest into our CDP
  • Develop data pipelines from disparate data source to support both the analysis and activation of contact acquisition, engagement, and retention programs via our CDP
  • Develop data sets across data lakes like Amazon Web Services (AWS) and Red Shift
  • Collaborate with the Sales and Marketing teams to build nimble audience segments data requirements gathering and support questions for audience segmentation
  • Maintain knowledge of data elements and Adobe Experience Platform in the maintenance and definition of segment, event and attribute rule sets
  • Coordinate with the Marketing Technology & Operations team members on development tasks
  • Collaborate across the Red Hat System of Sites to enable digital activation throughout the customer lifecycle
  • Consult with business owners on establishing and improving KPIs within the Customer Experience

Required skills:

  • 5+ years of work experience and BA/BS/Masters in related field
  • Adobe certified professional (preferred) with experience administering or implementing Adobe Marketing Cloud solutions (including Analytics, Target, Experience Platform, CDP, etc.)
  • Experience creating & deploying data pipelines across vast data repositories, web properties, silos and being able to use & learn Adobe Marketing Cloud, Adobe Experience Platform, APIs, etc. to surface reliable data for analysis
  • Extensive background both educating stakeholders and developing reports or dashboards to support the needs of the organization across multiple initiatives & programs
  • Strong analytical skills and experience with advanced reporting and other data analysis tools and/or code sets (e.g., Qlik, Tableau, R, Python) is a plus
  • Great problem solver, ability to learn independently, and work in an ambiguous environment
  • Ability to manage multiple global projects simultaneously, in a fast-paced environment
  • General understanding of data transformation, ingestion, transfer, mining & augmentation

Note: Both requirements are for remote use only. The customer won't provide the systems.

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