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

• Primary skills:Technology->Big Data->Big Data - ALL,Technology->Data Management - Data Integration->Informatica

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