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Apply for  job with Virtusa in New York, United States. Virtusa helps business move forward, faster by combining deep industry expertise and frictionless technology delivery.

<html><body><p><strong>Jo</strong>onitor, support, and maintain enterprise data pipelines and ETL workflows</p><ul><li>Perform advanced SQL analysis for troubleshooting, reconciliation, and operational reporting</li><li>Investigate and resolve production data issues, failures, latency, and data discrepancies</li><li>Conduct root cause analysis across databases, ETL jobs, APIs, and downstream systems</li><li>Support daily operational health checks, incident management, and SLA adherence</li><li>Analyze large datasets to identify anomalies, trends, and data quality issues</li><li>Collaborate with business users, application teams, and platform engineering teams to resolve data-related incidents</li><li>Execute data validation, reconciliation, and integrity checks across multiple systems</li><li>Optimize SQL queries and data processing performance</li><li>Support batch and near real-time data movement processes</li><li>Build and maintain operational dashboards, alerts, and monitoring solutions</li><li>Assist with deployment validation, release support, and production readiness activities</li><li>Create operational runbooks, troubleshooting guides, and support documentation</li><li>Drive automation initiatives for monitoring, alerting, and issue remediation</li></ul><h2><a id="_nsb7ujfu3abz"></a><strong>Required Skills</strong></h2><ul><li>Strong SQL expertise including <ul><li>Complex joins and subqueries</li><li>Query tuning and optimization</li><li>Window functions</li><li>Stored procedures</li><li>Data analysis and reconciliation</li></ul></li><li>Hands-on experience supporting ETL/ELT processes and workflows</li><li>Experience with ETL tools/platforms such as <ul><li>Azure Data Factory</li><li>SSIS</li></ul></li><li>Strong analytical and troubleshooting skills in production support environments</li><li>Experience investigating data quality, transformation, and integration issues</li><li>Knowledge of relational and cloud databases <ul><li>SQL Server</li><li>Azure SQL</li></ul></li><li>Familiarity with monitoring and observability tools</li><li>Understanding of data lifecycle management and operational support processes</li></ul></body></html>

<p><strong>Jo</strong>onitor, support, and maintain enterprise data pipelines and ETL workflows</p><ul><li>Perform advanced SQL analysis for troubleshooting, reconciliation, and operational reporting</li><li>Investigate and resolve production data issues, failures, latency, and data discrepancies</li><li>Conduct root cause analysis across databases, ETL jobs, APIs, and downstream systems</li><li>Support daily operational health checks, incident management, and SLA adherence</li><li>Analyze large datasets to identify anomalies, trends, and data quality issues</li><li>Collaborate with business users, application teams, and platform engineering teams to resolve data-related incidents</li><li>Execute data validation, reconciliation, and integrity checks across multiple systems</li><li>Optimize SQL queries and data processing performance</li><li>Support batch and near real-time data movement processes</li><li>Build and maintain operational dashboards, alerts, and monitoring solutions</li><li>Assist with deployment validation, release support, and production readiness activities</li><li>Create operational runbooks, troubleshooting guides, and support documentation</li><li>Drive automation initiatives for monitoring, alerting, and issue remediation</li></ul><h2><strong>Required Skills</strong></h2><ul><li>Strong SQL expertise including<ul><li>Complex joins and subqueries</li><li>Query tuning and optimization</li><li>Window functions</li><li>Stored procedures</li><li>Data analysis and reconciliation</li></ul></li><li>Hands-on experience supporting ETL/ELT processes and workflows</li><li>Experience with ETL tools/platforms such as<ul><li>Azure Data Factory</li><li>SSIS</li></ul></li><li>Strong analytical and troubleshooting skills in production support environments</li><li>Experience investigating data quality, transformation, and integration issues</li><li>Knowledge of relational and cloud databases<ul><li>SQL Server</li><li>Azure SQL</li></ul></li><li>Familiarity with monitoring and observability tools</li><li>Understanding of data lifecycle management and operational support processes</li></ul>

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