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
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..
Graduate in Computer Science, Data Science, or related field. 5-7 years of experience in data engineering or a related field.
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.
At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.
Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.
Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.
We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.
At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.
For more information, visit www.exlservice.com.
