Onsite Support Engineer (Data & ETL Platform) - Investments
Role Summary
We are seeking an experienced Onsite Support Engineer with strong expertise in ETL tools, data warehousing, and production support. The candidate will be responsible for supporting critical data integration platforms, troubleshooting data issues, monitoring data pipelines, coordinating with business and technology teams, and ensuring timely resolution of production incidents.
Key Responsibilities
Provide onsite support for data integration and data warehouse applications.
Monitor, troubleshoot, and resolve production issues related to ETL processes and data pipelines.
Analyze data quality issues and perform root cause analysis.
Support daily, weekly, and monthly batch processing activities.
Coordinate with business users, offshore teams, and vendors for issue resolution.
Validate data loads and reconciliation between source and target systems.
Monitor job scheduling and workflow execution using Control-M.
Perform SQL-based data analysis and troubleshooting.
Develop and maintain Unix Shell scripts to automate support activities.
Ensure adherence to SLA commitments and incident management processes.
Participate in release deployments, validation, and post-deployment support.
Prepare operational documentation, runbooks, and support reports.
Drive continuous improvement initiatives to enhance operational efficiency and data quality.
Required Technical Skills
ETL & Data Integration
Neoxam DataHub (Preferred)
Informatica PowerCenter/IDMC
ETL Development or Support
Data Engineering & Analytics
Databricks
Data Warehousing Concepts
Data Analysis and Reconciliation
SQL (Intermediate to Advanced)
Scheduling & Monitoring
Control-M Job Scheduling
Batch Monitoring and Workflow Management
Operating Systems & Scripting
Unix/Linux Administration
Shell Scripting
Production Support
Incident Management
Problem Management
Root Cause Analysis (RCA)
Change & Release Management
Application Monitoring
Preferred:
Investment Management / Asset Management
Insurance / Capital Markets
Financial Data Processing
Numbers & Facts
Location
New Jersey, NJ
Skills
Asset Managementunmatched
Capital Marketsunmatched
Continuous Improvementunmatched
Data Analysisunmatched
Data Managementunmatched
Data Processingunmatched
Data Qualityunmatched
Data Warehousingunmatched
Data Warehousing Applicationsunmatched
Database Extract Transform and Load (ETL)unmatched
Documentationunmatched
Identify Issuesunmatched
Incident Managementunmatched
Informaticaunmatched
Insuranceunmatched
Investment Managementunmatched
Linux Administrationunmatched
Maintain Complianceunmatched
Offshoringunmatched
On Site Supportunmatched
Operating Systemsunmatched
Operational Strategyunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Production Supportunmatched
Reconciliationunmatched
Release Management/Engineeringunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Scripting (Scripting Languages)unmatched
Service Level Agreement (SLA)unmatched
Time Managementunmatched
Unix Shell Programmingunmatched
Unix System Administrationunmatched
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