Job Location: New Delhi
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
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