Data Engineer- Support

Actively Reviewing the Applications

Virtusa

India, Andhra Pradesh Full-Time On-site

Posted 2 months ago • Apply by July 26, 2026

Job Description

Role Overview

We are looking for experienced Data Operations Engineers to join a fully managed service team who is responsible for business-critical data pipelines and reporting systems for a leading financial institution. This role ensures zero disruption to executive reporting while maintaining and enhancing legacy data operations during a strategic transition to AWS.

You will work in a production support environment, responsible for first-line monitoring, incident triage, and quick fixes for critical data pipelines and reporting systems. Acts as the frontline responder to ensure data availability for executive dashboards.

Key Responsibilities

Monitor and manage ETL pipelines (SSIS, SQL, Python) and ensure timely data availability for executive reporting
Troubleshoot and resolve job failures, data quality issues, and infrastructure-related incidents
Perform root cause analysis (RCA) and implement fixes for recurring issues
Collaborate with analytics teams to integrate queries into automated pipelines
Maintain and update runbooks, documentation, and operational dashboards
Support on-prem Windows server environments and manage scheduled jobs
Participate in incident management, prioritization, and escalation processes
Working 24x7 shifts

Mandatory Skillset

ETL Tools: SSIS (SQL Server Integration Services) – strong hands-on experience
Database Technologies: SQL Server, Teradata – advanced query optimization and troubleshooting
Programming: Basic to intermediate Python – scripting for data handling
Production Support Expertise: Incident management, monitoring, and troubleshooting in a 24x7 or critical reporting environment

Good-to-Have Skillset

Tableau Knowledge: Understanding of data extracts, refresh schedules, and integration with pipelines
Cloud Exposure: AWS fundamentals (S3, EC2, Glue) – readiness for future migration
DevSecOps Mindset: Familiarity with CI/CD pipelines, Git-based workflows, and secure coding practices
Automation Tools: Experience with job orchestration tools (Control-M, Airflow) or custom scripts
Windows Server Administration: Basic SRE skills / knowledge for patching, job scheduling, and resource monitoring