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Lead Assistant Manager at EXL Talent Acquisition Team

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Salesforce Data Cloud, Data Management, Data Modeling, Data Stream, Data Lake Object, Identity & Segmentation, Calculated Insights, SQL, RDBMS, Data Profiling, Schema Design, Einstein, Agentforce, SFMC, Data Pipelines, AMPscript

Industry

Business Consulting and Services

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

The role centers on leveraging Salesforce Data Cloud for data management, modeling, identity, and segmentation, requiring proficiency in SQL and RDBMS concepts for query optimization. Responsibilities also include cross-functional collaboration to integrate Data Cloud solutions with enterprise systems.