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# Data Engineer

- **Company:** EXL Service View all jobs
- **Location:** Philadelphia, PA, United States
- **Experience:** Experienced
- **Salary:** $115,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Databases, Information Engineering, Extract Transform Load (ETL), Data Systems, Microsoft SQL Server, Performance Tuning, Standard Sql, Enterprise Data Management, Database Optimization, Microsoft Fabric, Autodesk Autocad
- **Published:** August 31, 2026
- **Apply:** https://www.careerjet.com/job/usbf22e5fd2637a0c657720cef6a7bc2c3/eaa

## About the Role

* 3-5 years of experience in Data Engineering, Analytics Engineering, ETL Development, or a related field.
 * Strong hands-on SQL skills with experience supporting production ETL workloads.
 * Proven experience in ETL operations, production support, incident management, and root cause analysis.
 * Strong understanding of database performance tuning, server resource management, and capacity planning; SQL Server experience is a plus.
 * Excellent communication and stakeholder management skills, with the ability to effectively engage client teams and navigate ambiguity.

## Description

EXL is partnering with a leading telecom client to support and evolve its enterprise data platforms. As a Data Engineer, you will ensure the reliability and performance of critical ETL processes, drive platform enhancements, and serve as a key liaison between business stakeholders, vendors, and technical teams to deliver high-quality data solutions.
Responsibilities:

 * Drive stability, availability, and continuous improvement of enterprise data platforms through ETL operations, infrastructure support, stakeholder request management, and process optimization.
 * Monitor daily ETL workflows, troubleshoot production issues, perform root cause analysis (RCA), and implement preventive solutions.
 * Review technical requirements and code changes, test and deploy enhancements, and coordinate with vendors and upstream teams to incorporate source system changes.
 * Monitor database and server performance, capacity, and resource utilization, proactively addressing issues and bottlenecks.
 * Maintain operational documentation and manage client communications, including status updates, stakeholder alignment, and risk escalation


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