EDL App Support, BDM, Informatica Support

Infosys; Hyderabad; Vor Ort; INR 800.000 - 1.200.000; Vollzeit

Zusammenfassung

Infosys is seeking a skilled Production Support professional for Informatica BDM and Big Data workloads. This role entails monitoring ETL pipelines, Hadoop/Hive environments, and batch jobs, with strong troubleshooting and RCA capabilities.

Collaboration with development, infra, and business teams will be routine to ensure SLA adherence. The ideal candidate will have hands-on experience with Informatica BDM, Hadoop, Hive, and ITIL-based incident management, along with proficiency in SQL,

Qualifikationen

• Informatica BDM and Hadoop/Hive expertise required.
• Strong SQL for data validation and reconciliation.
• Experience with ITIL processes and incident/change management.
• Proficient in UNIX/Linux commands and shell scripting.
• Experience with ticketing tools such as ServiceNow.

Aufgaben

• Provide L2/L3 production support for Enterprise Data Lake apps.
• Monitor batch jobs, ETL workflows, and data loads; resolve failures within SLA.
• Troubleshoot Informatica mappings, sessions, and workflows; perform RCA.
• Analyze logs, alerts, and dependencies; coordinate fixes with teams.
• Support releases, validation, rollback checks, and post‑production monitoring.

Kenntnisse

Informatica BDM

Big Data

Hadoop

Hive

SQL

UNIX/Linux

Shell scripting

ITIL

Incident management

ServiceNow

Job scheduling

AutoSys

Control-M

Troubleshooting

Tools

Informatica Big Data Management

Hadoop

Hive

AutoSys

Control-M

ESP

ServiceNow

Jobbeschreibung

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.