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# ETL Production Support

- **Company:** Tata Consultancy Services Limited
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** JIRA, CA Workload Automation Ae, System Configuration, Extract Transform Load (ETL), Database Queries, Software Debugging, Monitoring of Systems, Issue Tracking Systems, Python (Programming Language), Log Analysis, Metadata, Oracle (Applications), Performance Tuning, Shell Script, Software Deployment, Software Engineering, SQL Databases, Datadog, Scripting, Data Ingestion, Apache Yarn, Informatica Powercenter, Apache Spark, Information Technology, Splunk, Sql Tuning, Servicenow
- **Published:** June 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0af990c03ae85b0f

## About the Role

Do you have experience in System tuning?, Do you have a Bachelor's degree?, Primary Skill: ETL Production Support
Secondary: IDMC, Informatica, Oracle, SQL Performance Tuning, Shell Scripting, Autosys
Experience: Minimum 10 years
Roles & Responsibilities

 * Monitor production environments, respond to alerts, and resolve technical issues, including tracking incidents against SLAs and preventing recurring issues through RCA.

 * Experience with Informatica, IDMC components, manage the workflows in cloud.

 * Experience in migrating the workflows from Informatica to IDMC.

 * Debug Informatica, Spark, Oracle and Shell scripting code, analyze logs, and troubleshoot hardware/software issues.

 * Maintain, document, and update system operating procedures, and provide performance reports.

 * Assist with code deployments and migrations through environment stacks (Dev, SIT, UAT, Prod).

 * Proficiency in Unix/Linux commands, SQL for database querying, performance tuning and scripting languages (e.g., Python, Shell) for automation.

 * Experience with monitoring tools (e.g., Splunk, Datadog), ticketing systems (e.g., Jira, ServiceNow), and cloud platforms(Yarn and Spark logs).

 * Configuring session objects, optimizing Spark engines, and managing file descriptors for high-volume data ingestion.

 * Knowledge in Metadata dependent ETL process and batch/job framework2, Qualifications : BACHELOR OF COMPUTER SCIENCE



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