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 sources 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 Modeling implementation.Should be able to understand the requirements and write Functional Specification Document, Design Document and Mapping Specifications.
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 sources 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 Modeling implementation. Should be able to understand the requirements and write Functional Specification Document, Design Document and Mapping Specifications.
