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Data Steward - Urgent opening ( Immediate joiners To 15 days Only)

10 - 15 years

25 - 30 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities 10+ years of related experience Data Engineers have to manage ETL Design Requirements, their implementation and maintenance. They should be able to develop/Deploy/Test and manage ETL Package solutions. They have to design/develop ETL jobs and design data models as per the analytics requirements. Data modeling Engineer have to Develop, deploy and maintain Data Models. They have to do dimensional modeling for data marts. They are expected to integrate and map data from multiple and complex data sources. Their role includes development of models/Cubes for depicting online and in performance tuning the same so that user queries are addressed. Data Steward should be capable of handling Data Quality interventions for Large enterprise projects. They have to understand the data quality issues and have to develop data quality related solutions using the tools (Python, SQL, Dataflux etc.). They Should be familiar with data cataloguing tools, Talend, Informatica etc. They have to manage PFMS Data Dictionary and have to do Data Cleaning and Implementation of Exception handling for ETL Packages. Minimum 10 years of Experience in Data Warehousing Projects. Must have experience of handling Data Quality interventions for Large enterprise projects. Should understand data quality issues and should have capability of using a tool (Python, SQL, Dataflux etc.) for developing data quality related solutions. Should be familiar with data cataloguing tools, Talend, Informatica etc. Qualification : BE / B. Tech / M. Tech/MCA in Computer/IT)/ Electronics & Tele-Communication Engineering Certification: MCSE: Data Management and Analytics, Microsoft Certified: Azure Data Engineer Associate CompTIA Data+ Microsoft Certified: Data Analyst Associate SAS Certified Big Data Professional BE / B. Tech / M. Tech/MCA in Computer/IT)/ Electronics & Tele-Communication Engineering Certification: MCSE: Data Management and Analytics, Microsoft Certified: Azure Data Engineer Associate CompTIA Data+ Microsoft Certified: Data Analyst Associate SAS Certified Big Data Professional

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