Location: Hyderabad Positions: 2 Employment type: Full time
Role Summary
We are seeking a Salesforce Data Cloud Engineer to design, implement, and maintain data integration pipelines between enterprise systems and Salesforce Data Cloud. The role covers data ingestion, identity resolution, unification, activation, and insights to enable 360-degree customer views and real-time personalization.
Key Responsibilities
Design and implement scalable data ingestion pipelines into Salesforce Data Cloud from internal and external systems.
Configure and manage Data Streams, Data Model Objects (DMOs), and Calculated Insights.
Collaborate with marketing, CRM, and analytics teams on customer identity resolution and data unification.
Integrate Salesforce Data Cloud with Salesforce Marketing Cloud, Sales Cloud, and external analytics platforms.
Apply data hygiene, governance, and data quality best practices.
Build and monitor CI/CD pipelines for Data Cloud configurations using tools such as Copado, GitLab, or Gearset.
Develop processes to manage Dev, UAT, and production environments using scratch orgs or sandboxes.
Required Skills and Qualifications
Salesforce Data Cloud
Experience working with Salesforce Data Cloud.
Strong understanding of Data Streams, Data Model Objects (DMOs), Unified Profiles, Calculated Insights, and Segments.
Experience configuring the Data Cloud Connector for Salesforce Marketing Cloud (SFMC) and activating data to Marketing Cloud.
Salesforce Platform
Familiarity with Salesforce Marketing Cloud, Sales Cloud, or Service Cloud.
Familiarity with Salesforce REST, Bulk, and Composite APIs.
Good to Have
Data Engineering and Integration
Experience with ETL/ELT pipelines using tools such as Apache Airflow or GCP Data Pipelines.
SQL and data modeling skills.
Understanding of JSON, Parquet, Avro, and large-scale data processing.
Cloud and DevOps
Familiarity with GCP.
Experience with CI/CD pipelines, especially using Copado or GitLab.
Professional Skills
Strong problem-solving ability and attention to detail.
Ability to work in a fast-paced, agile environment.
Communication skills to collaborate with stakeholders across engineering, marketing, and analytics teams.
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