Informatica BDM Admin-Hadoop Admin

Job description

Technology->Big Data->Big Data - ALL,Technology->Big Data - Hadoop->Hadoop Administration,Technology->Data Management - Data Integration Administration->Informatica Administration We are seeking an experienced Informatica BDM Administrator with Hadoop Administration expertise to manage big data and ETL environments. The ideal candidate will be responsible for administration, configuration, performance tuning, and integration of Informatica Big Data Management (BDM) with Hadoop ecosystems. Key Responsibilities Informatica BDM Administration Install, configure, and manage Informatica Big Data Management (BDM) / Data Engineering Integration (DEI) Configure Data Integration Service (DIS), Model Repository Service (MRS) Manage mappings, workflows, and execution on Hadoop clusters Perform migration and deployment across environments (Dev, QA, Prod) Hadoop Cluster Administration Install, configure, and maintain Hadoop clusters (Cloudera, Hortonworks, Apache Hadoop) Manage components: HDFS, YARN, MapReduce Hive, Spark, HBase Ensure cluster health, scalability, and high availability Integration (BDM + Hadoop) Integrate Informatica BDM with Hadoop ecosystems and big data tools Enable pushdown optimization for Hadoop processing Configure connectivity with Hive, HDFS, and Spark engines Performance Tuning & Optimization Optimize Informatica jobs running on Hadoop clusters Tune YARN resource allocation and Spark execution Improve query performance in Hive and big data workloads Monitoring & Troubleshooting Monitor systems using: Informatica Admin Console Cloudera Manager / Ambari Troubleshoot failures in workflows, services, and cluster jobs Perform root cause analysis and issue resolution Security & Governance Implement Kerberos authentication in Hadoop clusters Configure Ranger / Sentry for access control Manage Informatica security roles and permissions Ensure compliance with enterprise data governance policies Data Management & Integration Support ETL/ELT pipelines across Hadoop and data warehouses Manage structured, semi-structured, and unstructured data Integrate with tools like: Kafka Sqoop Flume Automation & Support Develop shell scripts for scheduling and automation Work with scheduling tools like Autosys / Control-M Support 24/7 production environments (if required) Required Skills & Qualifications Strong understanding of big data and ETL ecosystems Informatica Skills Informatica BDM / DEI DIS, MRS configuration Workflow/session monitoring and tuning Technical Skills Strong UNIX/Linux administration Proficiency in Shell scripting (bash/ksh) Good SQL knowledge Tools & Platforms Cloudera Manager / Ambari Informatica Admin Console Monitoring tools (Grafana, Nagios) Preferred Qualifications Informatica certification (BDM / PowerCenter Admin) Experience with cloud Hadoop platforms (AWS EMR, Azure HDInsight, GCP Dataproc) Knowledge of Spark (PySpark/Scala) Familiarity with DevOps tools (Docker, CI/CD)