Informatica Bdm Admin
1 day ago
Job Description:
- Manage Informatica Data Engineering 10.4 platform DEI/DES/DEQ, Power Exchange, Axon, EDC & PowerCenter.
- Perform Informatica BDM upgrades and platform/vendor hotfixes.
- Manage user and security access.
- Manage integration of Informatica servers with ‘Cloudera Hadoop ecosystem - HDFS, Hive, Kafka & Spark’.
- Knowledge on Informatica Administration like Creating and configuring the Informatica Services like Repository and Integration.
- Perform performance tuning utilizing Informatica BDM native engines.
- Perform server sizing for various Informatica modules as and when required as per estimated projects workload.
**Responsibilities**:
- Provide admin support to development project teams for Informatica BDM related services and activities.
- Perform Informatica BDM upgrades and platform/vendor hotfixes.
- Plan and execute deployment cycles on lower and higher environments.
- Manage Informatica CDC and Kafka Workflows.
- Manage Yarn process and executors alongside Cloudera Admin
Experience / Skills:
- Minimum 5+ years of experience as a Informatica BDM admin.
ETL Tools: Informatica Power Center and power exchange 9x,10x
- Experience with setting up repositories, users, security management.
- Strong Experience with Spark, Kafka and hdfs (Cloudera Hadoop platform).
- Experience with Informatica Architecture and installation process.
- Experience with DevOps, Informatica Deployment packages.
- Experience with Shell scripting for Admin automation
- Good verbal and written communication skills.
Qualification:
- Minimum Degree in computer science related areas.
**Salary**: ₹2,000,000.00 - ₹3,000,000.00 per year
**Benefits**:
- Health insurance
- Provident Fund
Schedule:
- Day shift
Supplemental pay types:
- Performance bonus
Ability to commute/relocate:
- Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (required)
**Experience**:
- Informatica Power Center (preferred)
- Informatica Power Exchange (preferred)
- DevOps (preferred)
- Shell Scripting (preferred)
- Spark / Kafka/ HDFS (preferred)
- Health insurance
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