Duties and Responsibilities:

• Help support evaluation of Customer Data Platforms (CDPs)

• Conduct Business Requirements workshops with Marketing Business teams and document them as User Stories in Azure DevOps backlogs

• Collaborate on standards and governance of RaceTrac s next-gen CDP platform to enable a federated contribution model across multiple delivery teams

• Use Test and Learn approach to assess the fitment of Microsoft Customer Insights platform for RaceTrac

• Hands-on coding/configuration in support of Customer Data Platform implementation for RaceTrac and its on-going maintenance and product evolution

• Integrate Customer Data Platform (CDP) with Enterprise Azure Cloud Data Lake using industry best practiceLead Proof Of Concepts (POC) for Tealium, Blueshift, Bloomreach, Segment CDP products.

• Ingest Google Analytics data into CDP

• Partner with Marketing business unit to help CDP power marketers create targeted personalized marketing campaigns

• Work with Marketing Product Owners and Stakeholders to gather data requirements and deliver data products in a collaborative and agile environment

• Engineer and performance tune ETL jobs to move data from a variety of source systems and file types to fit into dimensional data models

• Oversee client s CRM audiences in our CDP (Segment Personas)

• Gather requirements, build and maintain automated audiences and segmentation

• Monitor / analyze marketing audiences for reliability

• Establish dashboards and other support tools to share audience sizing

• Perform peer reviews and QA to ensure quality standards are met

• Build partnerships and instill trust with Customer Marketing partners

• Be involved in retrospectives and feedback sessions to continue iterating and improving processes

• Interface with clients to gather requirements, map solutions, and make recommendations

• Work with Offshore Azure Cloud developer for translating Business Requirements in to Technical specifications and develop the Azure Data Ingestion pipelines

Work Experience/ Education

Work Experience:

• Minimum 4 years of experience working in IT department with Data & Analytics responsibilities

• 2+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,)

• Recent 2+ years of experience working as Sr. Data Engineer on Azure Cloud Platforms

• 1+ years of experience working on Data and Analytics projects in support of Marketing/Loyalty/Digital Customer Experience Use Cases

• 2+ years of experience working with Google Analytics

• 1+ years of experience working or at least exposure on any Customer Data Platform (e.g. Microsoft CI, Segment, Tealium, Treasure Data, Informatica, Exponea, SalesForce CDP, etc.,)

• Experience working on Data & Analytics projects using Agile methodologies

• Previous Retail, Convenience Store/Petroleum industry experience a plus

• Previous experience working with Punchh Loyalty platform data is a huge plus

Education:

• Masters or Bachelor s degree in Computer Science or Information technology with specialization in Data & Analytics, Data Science, Data Engineering or related fields.

• Any one of the generic Cloud Platform certifications (AWS, Azure, GCP, etc.,)

• Any one of the Data & Analytics certifications (Azure Fundamentals AZ-900, DP-200: Implementing an Azure Data Solution, DP-201: Designing an Azure Data Solution, DP-203: Data Engineering on Microsoft Azure, etc.,)

Technical Skills, tools:

• Azure Cloud technologies:

• Must Have: ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,

Azure DevOps: -Boards, Repos, Pipelines, Test Plans

• Databases:

• Must Have: SQL servers/SQL databases, MongoDB,

• BI Platforms:

• Must Have: Power BI, Power BI Premium,

• Other MS tools:

• Must Have: SSMS, SSIS, Visual Studio

• Advanced Analytics/Data Scientists tools:

• Must Have: Google Analytics, FireBase, RStudio Server, PyCharm

• Programming Languages:

• Must Have: SQL, JavaScript,

• Agile tools:

• Must Have: Azure DevOps