Role: Hadoop Support Role
Level and Technology:
2 to 4 years of strong production support engineer experience
L 1.5 Support
Experience in Hadoop (Hive/HDFS/OOZIE/Sqoop/Tez/SPARK/KAFKA)
Good Experience in data management projects (structure/unstructured databases, process data streams, ETLs, ELTs, reporting)
Strong Experience with Hadoop ETL / Data Ingestion: Sqoop, Flume, Hive, Spark, Hbase, etc.
Well versed working experience in Unix/Linux environments
Proficiency in writing SQL
Basic understanding of working of any RDBMS DB and exposure to support ETL Jobs, any one of ETL Tools (BODS / SSIS / Informatica, etc.)
Strong hands-on Experience in Job Monitoring and batch process management system
Strong hands-on Experience in analyzing Job Failures & identifying the cause for failure and remediate the failure
Working knowledge of batch Schedulers such as Tidal/CA Automic/Autosys or any other workload automation tool
Ability to Debug the production issue and perform the level of Impact Analysis in Technical and Functional terms
PL/SQL
Functions along with different queries which you will need in programming body of the plsqlStructured Query Language (SQL) - write queries and other basic database statements. programming language - should know at least one programming language. Designed, developed, and implemented Oracle PL/SQL applications for security positions and transactions.
Used Oracle Advanced concepts like types, PL/SQL tables and V-Arrays, and dynamic SQL in generating the complex extracts from the database.
Designed and Developed Staging tables, Data Conversion SQL Loader Program, and Custom PL/SQL API to import data from the legacy system.

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