Location: Bangalore/Pune/Gurgaon(onsite-5 days)
Experience:5Years
Budget- Upto 26 LPA
Notice Period: Immediate to serving only.
Skills & Experience:
- 5 years of experience in End to End implementation experience with Adobe Campaign Classic
- Work with Stakeholders to assess requirements
- Configure & Design Adobe Campaign to meet customer business needs by understanding their database architecture and setting up ETL and dataflows
- Expertise and Experience in SQL (Oracle / SQL Server / PostgreSQL)
- Excellent knowledge of Marketing Management across multiple Channels (Email Mail SMS PUSH etc)
- Application Integration/Web services experience (XML REST SOAP & messaging patterns)
- Should have good understanding of Adobe Campaign Architecture.
- Defines integrations between the Adobe Marketing Cloud Products (AEM Adobe Analytics Adobe Audience Manager and Adobe Target)
- Designing a solution architecture and to identify the components and Templates for Campaign Management – Segmentation Workflows Technical Workflows and Delivery Workflows.
- Knowledge of Javascript HTML CSS and related technologies
- Ability to define the system landscape to identify gaps between current and desired end-states and deliver a solution
- Adobe Campaign Classic Developer and Business Practitioner strongly preferred
Behavioural Fit:
- Highly technical with a keen eye for detail.
- Driven self motivated and results oriented.
- Confident and an ability to challenge if necessary.
- Structured and organised.
- Ability to work in a cross-functional multi-cultural team and in a collaborative environment with minimal supervision.
- Ability to multi-task and plan organize and prioritize multiple projects.
- Must have a hands-on mentality.
Role Key Performance Indicators:
- Quality and consistency of data across the whole data landscape
- Time to value of new data and analytics solutions including implementation of Machine Learning
- Quality of documentation and time to get up to speed of new joiners.
Location: Bangalore/Pune/Gurgaon(onsite-5 days)Experience:5YearsBudget- Upto 26 LPANotice Period: Immediate to serving only. Skills & Experience:5 years of experience in End to End implementation experience with Adobe Campaign ClassicWork with Stakeholders to assess requirementsConfigure & Design A...
Location: Bangalore/Pune/Gurgaon(onsite-5 days)
Experience:5Years
Budget- Upto 26 LPA
Notice Period: Immediate to serving only.
Skills & Experience:
- 5 years of experience in End to End implementation experience with Adobe Campaign Classic
- Work with Stakeholders to assess requirements
- Configure & Design Adobe Campaign to meet customer business needs by understanding their database architecture and setting up ETL and dataflows
- Expertise and Experience in SQL (Oracle / SQL Server / PostgreSQL)
- Excellent knowledge of Marketing Management across multiple Channels (Email Mail SMS PUSH etc)
- Application Integration/Web services experience (XML REST SOAP & messaging patterns)
- Should have good understanding of Adobe Campaign Architecture.
- Defines integrations between the Adobe Marketing Cloud Products (AEM Adobe Analytics Adobe Audience Manager and Adobe Target)
- Designing a solution architecture and to identify the components and Templates for Campaign Management – Segmentation Workflows Technical Workflows and Delivery Workflows.
- Knowledge of Javascript HTML CSS and related technologies
- Ability to define the system landscape to identify gaps between current and desired end-states and deliver a solution
- Adobe Campaign Classic Developer and Business Practitioner strongly preferred
Behavioural Fit:
- Highly technical with a keen eye for detail.
- Driven self motivated and results oriented.
- Confident and an ability to challenge if necessary.
- Structured and organised.
- Ability to work in a cross-functional multi-cultural team and in a collaborative environment with minimal supervision.
- Ability to multi-task and plan organize and prioritize multiple projects.
- Must have a hands-on mentality.
Role Key Performance Indicators:
- Quality and consistency of data across the whole data landscape
- Time to value of new data and analytics solutions including implementation of Machine Learning
- Quality of documentation and time to get up to speed of new joiners.
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