We are looking for an experienced EDL Application Support Engineer to provide production support for Enterprise Data Lake applications, Informatica workflows and Hadoop-based data pipelines. The ideal candidate should have hands-on experience with Informatica BDM, Hadoop, HDFS, Hive, SQL and UNIX/Linux, along with strong troubleshooting and incident-management capabilities.
The role involves monitoring production jobs, resolving application and data issues, performing root-cause analysis, supporting releases and ensuring that critical data-processing workflows operate within agreed service levels.
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.
Informatica BDM, Big Data, Hive, Hadoop and UNIX Production Support
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.
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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