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