Informatica BDM Admin

Key Responsibilities:

• Informatica BDM Administration
• Install configure and administer Informatica Big Data Management BDM Data Engineering Integration DEI
• Manage Informatica Domain Repository and Integration Services
• Configure and maintain BDM clusters and Big Data services
• Perform migrations Dev QA Prod and deployments
• Monitor workflows sessions and cluster performance
• Handle patching upgrades and environment maintenance
• Big Data Hadoop Integration
• Integrate Informatica BDM with Hadoop ecosystem HDFS Hive Spark YARN
• Manage connectivity with big data platforms Cloudera Hortonworks AWS EMR
• Support execution of Spark based mappings and pushdown processing
• Troubleshoot issues related to cluster connectivity and job execution
• Performance Troubleshooting
• Monitor system performance and optimize BDM jobs and services
• Analyze logs and resolve failures across workflows and mappings
• Implement best practices for performance tuning and resource utilization
• Conduct root cause analysis RCA and implement preventive measures
• UNIX Linux Support
• Work extensively on Unix Linux systems for administration and job monitoring
• Develop and maintain shell scripts for automation
• Manage file systems permissions and batch job execution
• Production Support
• Provide L2 L3 support for BDM Big Data environments
• Handle incident management alerts and SLA adherence
• Ensure high availability and reliability of ETL and big data pipelines
• Collaboration Documentation
• Work closely with ETL developers data engineers and cloud teams
• Maintain technical documentation SOPs and runbooks
• Follow change management and release processes

Technical Requirements:

• Primary skills Technology Big Data Big Data ALL Technology Data Management Data Integration Informatica

Additional Responsibilities:

• Technical Skills
• Knowledge of Informatica BDM architecture and services
• Experience with cluster configuration and big data integrations
• Proficiency in shell scripting Bash Korn
• Good knowledge of SQL and databases
• Experience with job scheduling tools AutoSys Control M
• Understanding of performance tuning and troubleshooting
• Preferred Skills
• Experience with cloud platforms AWS Azure GCP
• Exposure to AWS EMR Databricks
• Familiarity with Informatica IICS or cloud data integration
• Knowledge of CI CD pipelines and DevOps practices
• Basic Python or Spark scripting knowledge

Preferred Skills:

Technology->Big Data->Big Data - ALL,Technology->Data Management - Data Integration->Informatica->Informatica - Data Explorer