Data OPS

Jo onitor, support, and maintain enterprise data pipelines and ETL workflows

• Perform advanced SQL analysis for troubleshooting, reconciliation, and operational reporting
• Investigate and resolve production data issues, failures, latency, and data discrepancies
• Conduct root cause analysis across databases, ETL jobs, APIs, and downstream systems
• Support daily operational health checks, incident management, and SLA adherence
• Analyze large datasets to identify anomalies, trends, and data quality issues
• Collaborate with business users, application teams, and platform engineering teams to resolve data-related incidents
• Execute data validation, reconciliation, and integrity checks across multiple systems
• Optimize SQL queries and data processing performance
• Support batch and near real-time data movement processes
• Build and maintain operational dashboards, alerts, and monitoring solutions
• Assist with deployment validation, release support, and production readiness activities
• Create operational runbooks, troubleshooting guides, and support documentation
• Drive automation initiatives for monitoring, alerting, and issue remediation

Required Skills

• Strong SQL expertise including
• Complex joins and subqueries
• Query tuning and optimization
• Window functions
• Stored procedures
• Data analysis and reconciliation
• Hands-on experience supporting ETL/ELT processes and workflows
• Experience with ETL tools/platforms such as
• Azure Data Factory
• SSIS
• Strong analytical and troubleshooting skills in production support environments
• Experience investigating data quality, transformation, and integration issues
• Knowledge of relational and cloud databases
• SQL Server
• Azure SQL
• Familiarity with monitoring and observability tools
• Understanding of data lifecycle management and operational support processes