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Nagarro

Associate Staff Engineer, CRM Salesforce Data Cloud

Posted 2 Days Ago
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Remote
Hiring Remotely in IN
Senior level
Remote
Hiring Remotely in IN
Senior level
Lead implementation of Salesforce Data Cloud and manage data integration across systems, ensuring compliance and optimizing data pipelines.
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Company Description

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.

Job Description

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 Cloud–driven 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

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Top Skills

APIs
AWS
Azure
Etl Frameworks
Google Bigquery
Marketing Cloud
Middleware
Sales Cloud
Salesforce Data Cloud
Service Cloud
Snowflake

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