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.