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EXL Service

Data Engineer

Pay: Not specified

Posted: 5 days ago

Location: Philadelphia, PA (Onsite)

Last Updated: 4 days ago

Hours: Full-Time

Expires: 10/1/2026

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What they do

A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.

$113,315 / year median in Pennsylvania

+12% projected growth

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Job Description

Data Engineer EXL Service - 3.7 Philadelphia, PA Job Details Full-time 6 hours ago Qualifications Customer communication Data Integration (Data management) Defect resolution root cause analysis Defect analysis System performance optimization SQL Database server management Incident management operations support IT support Problem management Capacity planning System tuning Data performance optimization Project stakeholder communication Stakeholder relationship building Failure analysis Production troubleshooting Stakeholder management

Full Job Description Job 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

Qualifications:

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.