Overview
Job Description: Position - Salesforce Data Cloud Engineer:
1 Knowledge of Salesforce Data Cloud: Data Management & Modeling-Data Stream, Data Lake Object, Data Model, Identity & Segmentation, Calculated Insights
2 Basic Understanding of Administration of Salesforce Data Cloud: Managing user roles, permissions, External System Integration
3 Proficiency in SQL and RDBMS concepts: Real project experience of writing SQL queries from scratch with good understanding of RDMS concepts to optimize queries as per requirements
4 Strong in Data concepts for profiling and data object schema design (data modeling)
5 Cross-Functional Collaboration: Partner with CRM, External Teams to design solutions and integrate Data Cloud with enterprise systems.
6 Knowledge of Einstein and Agentforce related to Data Cloud
7 Strong troubleshooting skills - ability to trace data issues end-to-end.
Nice to have:
1 Work with Salesforce Marketing Cloud (SFMC) data extensions, automations, data views, and Contact/Subscriber model
2 Understand the data flow between source systems to build/optimize data pipelines in SFMC
3 some programming language like python and experience in building/optimizing data pipelines.
4 Marketing Domain B2B knowledge and support campaign teams with data preparation, segmentation logic, and audience readiness.
5 Nice to have experience in Journey Builder.
6 Working knowledge of AMPscript/SSJS
Responsibilities: 1. Knowledge of Salesforce Data Cloud: Data Management & Modeling-Data Stream, Data Lake Object, Data Model, Identity & Segmentation, Calculated Insights
2 Basic Understanding of Administration of Salesforce Data Cloud: Managing user roles, permissions, External System Integration
3 Proficiency in SQL and RDBMS concepts: Real project experience of writing SQL queries from scratch with good understanding of RDMS concepts to optimize queries as per requirements
4 Strong in Data concepts for profiling and data object schema design (data modeling)
5 Cross-Functional Collaboration: Partner with CRM, External Teams to design solutions and integrate Data Cloud with enterprise systems.
6 Knowledge of Einstein and Agentforce related to Data Cloud
7 Strong troubleshooting skills - ability to trace data issues end-to-end..
Qualifications: Graduate in Computer Science, Data Science, or related field. 3-6 years of experience in data engineering or a related field.