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DataStage

6.00 to 11.00 Years   Hyderabad   04 Jul, 2022
Arminus
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other SoftwareIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

    Experience : 6 -9 years Location : Hyderabad Budget : 22 LPA Experience in Designing and development on Datastage. . Efficient in all phases of the development lifecycle, coherent with Data Cleansing, Data Conversion, Performance Tuning and System Testing. Expertise in Data Warehousing ETL Tool DataStage using Components like DataStage Designer, DataStage Director and DataStage Operations Console. Strong understanding of Data warehousing concepts, dimensional Star Schema and Snowflakes Schema methodology. Expertise in designing DataStage Parallel Jobs, Job Sequencing, Creating Parameter Sets, Environment Variables and Creating Parallel Routines, Data Cleansing and Writing Transformation expressions to derive values and remove unwanted data. Efficient in identifying and finalizing the various source file formats and frequencies from different source systems. In depth experience in troubleshooting of Datastage jobs and addressing issues like performance tuning. Experienced in automation of the jobs using Unix scripts. Experience in developing of reusable Unix Jobs/components.Primary Skill: DatastageSecondary Skills: Unix, oracle, Teradata Key Skills: Experience : 6 -9 years Location : Hyderabad Budget : 22 LPA Experience in Designing and development on Datastage. . Efficient in all phases of the development lifecycle, coherent with Data Cleansing, Data Conversion, Performance Tuning and System Testing. Expertise in Data Warehousing ETL Tool DataStage using Components like DataStage Designer, DataStage Director and DataStage Operations Console. Strong understanding of Data warehousing concepts, dimensional Star Schema and Snowflakes Schema methodology. Expertise in designing DataStage Parallel Jobs, Job Sequencing, Creating Parameter Sets, Environment Variables and Creating Parallel Routines, Data Cleansing and Writing Transformation expressions to derive values and remove unwanted data. Efficient in identifying and finalizing the various source file formats and frequencies from different source systems. In depth experience in troubleshooting of Datastage jobs and addressing issues like performance tuning. Experienced in automation of the jobs using Unix scripts. Experience in developing of reusable Unix Jobs/components.Primary Skill: DatastageSecondary Skills: Unix, oracle, Teradata,

Keyskills :
source system analysisetl toolstar schemadata cleansingdata conversiondata warehousingperformance tuningetlunixoracledesignschemawritingdatastagecleansingchartmaxxoperations

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