This position is no longer accepting applications
Closed on September 30, 2026.
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Data Engineer
Data
Data Analysis
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Database
Databases
ETL
Informatica
Integration
MS SQL
SQL
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Job Description
Join EXL Service in Philadelphia, PA (onsite) and help strengthen enterprise data platforms for a telecom client. In this Data Engineer role, you will focus on ETL reliability, ongoing platform improvements, and cross-team coordination to ensure stakeholders receive high-quality data solutions that perform well in production.
What you’ll do
- Improve stability and availability of enterprise data platforms by owning ETL operations, infrastructure support, stakeholder request handling, and process optimization.
- Oversee daily ETL workflows, troubleshoot production issues, perform root cause analysis (RCA), and implement preventive actions to reduce repeat incidents.
- Evaluate technical requirements and code changes, support testing and deployment of enhancements, and coordinate with vendors and upstream teams to incorporate source system changes.
- Monitor database and server performance, including capacity and resource utilization, and proactively address bottlenecks or emerging constraints.
- Keep operational documentation up to date and manage client communication through status updates, stakeholder alignment, and risk escalation when needed.
What you bring
- 3 to 5 years of experience in Data Engineering, Analytics Engineering, ETL Development, or a related field.
- Strong hands-on SQL skills, including experience supporting production ETL workloads.
- Proven experience with ETL operations, production support, incident management, and root cause analysis (RCA).
- Sound 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 work effectively with client teams and operate in ambiguous situations.
Technologies
SQL, SQL Server