Role & responsibilities: Data Engineer Minimum Experience - 8 years Must have experience in design/development of ETL jobs and design data models as per the analytics requirements. Should have been part of a similar project with experience of handling and integrating data for multiple departments 8+ 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. Qualification: BE / B. Tech / M. Tech/MCA in Computer/IT/)/ Electronics & Tele-Communication Engineering Certification: MCSE: Data Management and Analytics, MCSA: SQL 2016 BI Development CompTIA Data+ Microsoft Certified: Data Analyst Associate SAS Certified Big Data Professional Interested candidates share your profile at parul@mounttalent.com/ parul.s@mounttalent.com.

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Data Analytics Expert - Urgent Opening ( Immediate Joiners Only)