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Informatica-Bigdata-Hive-Hadoop-UNIX(Production Support)

Informatica-Bigdata-Hive-Hadoop-UNIX(Production Support)

Infosys Limited
Fresher
Not Disclosed

This job is no longer accepting applications

Job Description

Key Responsibilities:

  • Key Responsibilities
  • Production Support Incident Management
  • Provide L2 L3 support for Big Data and ETL applications
  • Monitor batch jobs workflows and data pipelines 24 7 support model if required
  • Troubleshoot Informatica workflows Hadoop Hive jobs and UNIX scripts
  • Perform root cause analysis RCA and ensure timely resolution of incidents
  • Track and resolve SLA breaches P1 P2 incidents
  • ETL Data Pipeline Support
  • Support and maintain Informatica PowerCenter IICS workflows
  • Debug ETL failures data mismatches and performance issues
  • Perform data validation and reconciliation across systems
  • Handle data ingestion and transformation pipelines
  • Big Data Hadoop Ecosystem
  • Troubleshoot issues in
  • Hadoop HDFS YARN
  • Hive queries and performance tuning
  • Spark jobs basic to intermediate exposure preferred
  • Analyze logs optimize queries and ensure smooth data processing
  • Unix Scripting
  • Develop and support Shell scripts for automation
  • Analyze logs manage file movements job scheduling and cron jobs
  • Automate repetitive support activities
  • Monitoring Tools
  • Work with scheduling tools
  • Autosys Control M Airflow
  • Use monitoring and ticketing tools
  • ServiceNow Jira
  • Proactively monitor systems and prevent failures
  • Performance Optimization
  • Identify bottlenecks in ETL and Big Data workloads
  • Optimize Hive queries partitioning and indexing strategies
  • Improve job execution time and system stability
  • Stakeholder Coordination
  • Collaborate with
  • Development teams
  • Business stakeholders
  • Infrastructure teams
  • Communicate status updates and incident reports clearly
  • Required Skills
  • Core Technical Skills
  • Informatica PowerCenter IICS strong exposure
  • Hadoop ecosystem HDFS YARN MapReduce basics
  • Hive advanced querying tuning
  • UNIX Linux Shell scripting
  • SQL advanced
  • Production Support Skills
  • Incident problem management
  • RCA and debugging expertise
  • Batch monitoring and job scheduling
  • SLA driven environment experience

Technical Requirements:

  • Primary skills Process Informatica Bigdata Production support Unix Hadoop Hive

Preferred Skills:

Foundational->Maintenance and Production Support process->Support Process - Transition,Technology->Big Data->Big Data - ALL,Technology->Data Management - Data Integration->Informatica

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