> Markdown version of [/jobs/ext/3696183-informatica-idmc-lead](https://www.wearedevelopers.com/jobs/ext/3696183-informatica-idmc-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Informatica IDMC Lead - **Company:** Intersources Inc. - **Location:** Plano, TX, United States - **Experience:** Expert - **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, Oracle (Applications), Performance Tuning, Shell Script, Software Deployment, Software Engineering, SQL Databases, Datadog, Scripting, Data Ingestion, Apache Yarn, Informatica Powercenter, Apache Spark, Splunk, Sql Tuning, Servicenow - **Published:** October 12, 2026 - **Apply:** https://www.careerjet.com/job/us6048095ce679d865592dd1c3f0d96b6a/eaa ## About the Role 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, and managing workflows in the cloud. * Experience in migrating 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 framework, Generic Managerial Skills, if any