Informatica BDM
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Key skills for this role
About the Role
VerifiedJobs.ae is seeking an Informatica BDM Developer with expertise in ETL using Informatica Big Data Management 10.2.
Key Skills for This Role
Responsibilities
- Develop Informatica BDM and Hadoop with Spark and Hive
- Perform extraction, transformation, and loading (ETL) using Informatica Big Data Management 10.2.X
- Develop and deploy dynamic mappings using Informatica Big Data Management 10.2.X
- Transform and load complex data sources including unstructured and NoSQL data
- Work with Hive Database including DDL, Partition, and Hive Query Language
- Write functional specification documents, design documents, and mapping specifications
Requirements
- Strong expertise in ETL using Informatica Big Data Management 10.2.X with Spark, Blaze, and Hive execution engines
- Strong expertise in dynamic mapping use case, development, and deployment using Informatica Big Data Management 10.2.X
- Experience transforming and loading complex data sources such as unstructured and NoSQL data sources
- Strong expertise in Hive Database including Hive DDL, Partition, and Hive Query Language
- Good understanding of Hadoop ecosystem (HDFS, Spark, Hive)
- Strong expertise in SQL/PLSQL
- Good knowledge of Oracle/Sybase/SQL Databases
- Good knowledge of Data Lake and Dimensional Data Modeling implementation
- Ability to understand requirements and write Functional Specification Document, Design Document, and Mapping Specifications
Full Job Posting
Job Description
- Skill: Informatica BDM
- Role: T3, T2
- Interested in Developing Informatica BDM and Hadoop with Spark and Hive. Good working knowledge with Oracle/Sybase/SQL Databases.
Key Responsibility
- Should have Strong expertise of Extraction, Transformation and Loading (ETL) mechanism using Informatica Big Data Management 10.2.X and various Push down mode using Spark, blaze and Hive execution engine.
- Should have Strong expertise of Dynamic mapping Use case, Development, Deployment mechanism using Informatica Big Data Management 10.2.X.
- Should have experience on transforming and loading various Complex data source types such as Unstructured data sources, No SQL Data Sources.
- Should have Strong expertise of Hive Database including Hive DDL, Partition and Hive Query Language.
- Should have Good Understanding of Hadoop Eco system (HDFS, Spark, Hive).
- Should have Strong expertise of SQL/PLSQL.
- Should have good knowledge on working with Oracle/Sybase/SQL Databases.
- Should have good knowledge of Data Lake and Dimensional data Modelling implementation.
- Should be able to understand the requirements and write Functional Specification Document, Design Document and Mapping Specifications.
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