Associate Staff Engineer, CRM Salesforce Data Cloud

Others - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

REQUIREMENTS:

Total Experience 5 years
strong hands-on experience in Salesforce Data Cloud.
Proven expertise in data modeling ingestion harmonization and identity resolution within a CDP environment.
Strong understanding of the Salesforce ecosystem including Marketing Cloud Sales Cloud and Service Cloud.
Experience integrating Salesforce Data Cloud with enterprise data platforms such as AWS Azure Google BigQuery Snowflake or on-prem systems.
Solid knowledge of ETL frameworks APIs middleware and MDM concepts.
Experience working with large-scale high-volume data environments and complex data landscapes.
Ability to translate business objectives into actionable CDP use cases supporting personalization automation segmentation and analytics.
Strong communication skills with experience in customer-facing roles

RESPONSIBILITIES:

Writing and reviewing great quality code
Lead end-to-end implementation of Salesforce Data Cloud (CDP) including data modeling ingestion harmonization identity resolution and segment activation.
Design build and optimize scalable data ingestion pipelines using Data Streams connectors APIs and integrations with enterprise systems.
Develop and manage Data Lake Objects (DLOs) Data Model Objects (DMOs) and Calculated Insights to support analytics and activation use cases.
Configure and maintain identity resolution matching rules and golden customer profiles across multiple data sources.
Create and manage segments real-time audiences insights and activations for Marketing Sales and Service use cases.
Collaborate with integration and data engineering teams on ETL processes MDM APIs and middleware to ensure seamless data flow.
Work closely with business stakeholders to gather requirements and translate them into scalable CDP technical solutions.
Ensure adherence to data governance data quality privacy consent management and security best practices.
Enable Data Clouddriven personalization across Marketing Cloud Sales Cloud Service Cloud and external activation platforms.
Troubleshoot and resolve data ingestion issues mapping errors identity conflicts and performance challenges.
Provide documentation best practices and knowledge transfer to technical and non-technical teams.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

Yes

Employment Type :

Full-time

REQUIREMENTS:Total Experience 5 yearsstrong hands-on experience in Salesforce Data Cloud.Proven expertise in data modeling ingestion harmonization and identity resolution within a CDP environment.Strong understanding of the Salesforce ecosystem including Marketing Cloud Sales Cloud and Service Cloud...

REQUIREMENTS:

Total Experience 5 years
strong hands-on experience in Salesforce Data Cloud.
Proven expertise in data modeling ingestion harmonization and identity resolution within a CDP environment.
Strong understanding of the Salesforce ecosystem including Marketing Cloud Sales Cloud and Service Cloud.
Experience integrating Salesforce Data Cloud with enterprise data platforms such as AWS Azure Google BigQuery Snowflake or on-prem systems.
Solid knowledge of ETL frameworks APIs middleware and MDM concepts.
Experience working with large-scale high-volume data environments and complex data landscapes.
Ability to translate business objectives into actionable CDP use cases supporting personalization automation segmentation and analytics.
Strong communication skills with experience in customer-facing roles

RESPONSIBILITIES:

Writing and reviewing great quality code
Lead end-to-end implementation of Salesforce Data Cloud (CDP) including data modeling ingestion harmonization identity resolution and segment activation.
Design build and optimize scalable data ingestion pipelines using Data Streams connectors APIs and integrations with enterprise systems.
Develop and manage Data Lake Objects (DLOs) Data Model Objects (DMOs) and Calculated Insights to support analytics and activation use cases.
Configure and maintain identity resolution matching rules and golden customer profiles across multiple data sources.
Create and manage segments real-time audiences insights and activations for Marketing Sales and Service use cases.
Collaborate with integration and data engineering teams on ETL processes MDM APIs and middleware to ensure seamless data flow.
Work closely with business stakeholders to gather requirements and translate them into scalable CDP technical solutions.
Ensure adherence to data governance data quality privacy consent management and security best practices.
Enable Data Clouddriven personalization across Marketing Cloud Sales Cloud Service Cloud and external activation platforms.
Troubleshoot and resolve data ingestion issues mapping errors identity conflicts and performance challenges.
Provide documentation best practices and knowledge transfer to technical and non-technical teams.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Computer Science
Docker
Kubernetes
Python
VMware
C/C++
Go
System Architecture
gRPC
OS Kernels
Perl
Distributed Systems

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Nagarro

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and susta ... View more

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