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About the role
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).
Work experience in streamsets(ETL)/Kafka/Python/Pyspark is advantageous.
Should have Strong expertise of SQL
Should have Good knowledge on working with Client/Teradata/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
Job type: Full Time/Contract Division: eTeam Workforce Limited Reference: 22-02548
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