Senior EDL App Support, BDM, Informatica Support

Infosys; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Infosys is seeking an experienced Informatica Production Support specialist to provide L2/L3 support for Enterprise Data Lake applications and Hadoop-based pipelines. You will monitor batch jobs, troubleshoot Informatica mappings, and coordinate root-cause analysis with development and infrastructure teams.

The role requires strong SQL skills, Unix/Linux proficiency, and experience with job scheduling tools like AutoSys or Control-M.

Qualifications

• Hands-on experience with Informatica BDM or Informatica BDE or similar data-integration tools.
• Strong knowledge of Hadoop ecosystem components including HDFS and Hive.
• Proficient in SQL for data validation and troubleshooting.
• Working knowledge of UNIX/Linux commands and shell scripting.
• Experience with job scheduling and incident/change management tools.

Responsibilities

• Provide L2/L3 production support for Enterprise Data Lake apps and pipelines.
• Monitor batch jobs and ETL workflows, resolve failures within SLAs.
• Troubleshoot Informatica mappings, sessions, and workflows.
• Perform root-cause analysis and coordinate permanent fixes with teams.
• Support releases, validation, rollback checks, and post-production monitoring.
• Maintain incident reports, RCA documents, and knowledge articles.

Skills

Informatica BDM

Informatica BDE

Hadoop ecosystem

SQL

Unix/Linux

Shell scripting

ITIL processes

ServiceNow

Tools

AutoSys

Control-M

ESP

ServiceNow

Job description

Informatica BDM, Big Data, Hive, Hadoop and UNIX Production Support
rovide L2/L3 production support for Enterprise Data Lake applications, Informatica workflows and Big Data pipelines. Monitor batch jobs, ETL workflows and data loads, and resolve failures within defined SLA timelines. Troubleshoot Informatica mappings, sessions, parameter sets, workflows and related application issues. Monitor and support Hadoop ecosystem components, including HDFS, Hive and associated data-processing jobs. Analyze application logs, system alerts and job dependencies to identify the cause of production failures. Perform SQL-based data validation, reconciliation and troubleshooting for data-quality issues. Troubleshoot Hive queries and address query-performance or data-processing issues. Use UNIX/Linux commands and shell scripts for monitoring, job recovery, log analysis and support automation. Perform root-cause analysis for recurring incidents and coordinate permanent fixes with development and infrastructure teams. Handle incidents, service requests, problems and changes in accordance with ITIL processes. Support production releases, deployment validation, rollback checks and post-production monitoring. Coordinate with application development, database, infrastructure and business teams for issue resolution. Maintain incident reports, RCA documents, SOPs, knowledge articles and operational-support documentation. Provide timely status updates to stakeholders and participate in shift-based or on-call support, as required. These responsibilities align with internal Informatica application-support JDs, which emphasize workflow monitoring, incident resolution, RCA, ETL debugging, release support and coordination across technical teams.
Strong hands-on experience with Informatica Big Data Management, Informatica BDE or similar Informatica data-integration tools. Good knowledge of the Hadoop ecosystem, particularly HDFS and Hive. Strong understanding of ETL workflows, batch processing and data-warehouse concepts. Proficiency in SQL for data analysis, reconciliation and production troubleshooting. Strong working knowledge of UNIX/Linux commands and shell scripting. Experience monitoring and troubleshooting Informatica mappings, sessions and workflows. Experience with job scheduling and monitoring tools such as AutoSys, Control-M, ESP or equivalent. Knowledge of incident, problem and change-management processes. Experience using ServiceNow or a similar ticket-management tool. Strong analytical, troubleshooting and problem-solving skills. Good written and verbal communication skills. Informatica documentation confirms that its Big Data environment integrates with Hadoop services such as HDFS and Hive, supporting distributed data processing and mapping execution.