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Senior Executive

EXL · Business Process Outsourcing (BPO) · AI Consulting & Integration · Python · SQL · Apex · 7 months ago
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Salary
≈ $15k – $33k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 3+ years exp

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Apr 15, 2026. EXL scores B on the Alion truth index.

Overview
Company
Impact
Profile match

EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
exlservice.com · HQ: New York, United States · AI Consulting & Integration · Analytics & BI Consulting · Business Process Outsourcing (BPO) · 5000+ employees · Est. 1999
Tech stack of EXL

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. 3-6 years of experience in data engineering or a related field.

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