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Data Engineer
26 April 2021

MA students and graduates of the University of Georgia have an opportunity to apply for a data engineer position at one of the microfinance organization.

Job overview

The company is looking for an experienced data engineer/ETL developer with a doer attitude to join Business Intelligence team. Your role will be to maintain, optimize, and develop an existing integrated data storage for Business Intelligence (BI) to serve the enterprise-wide data analytics needs delivered via Power BI. To shine at your role, you need to have an extensive knowledge and working experience in designing, implementing, automating, and maintaining ETL/ELT processes to deliver data from various data sources into the integrated data storage.

Main responsibilities:

·         Design, implement and maintain optimal ETL/ELT processes to enrich the integrated data storage for BI from various data sources based on the organization-wide data needs;

·         Develop and deploy SQL Server Integration Services (SSIS) packages;

·         Automate data delivery into the integrated data storage by executing SSIS packages and other ETL/ELT processes with SQL Server Agent;

·         Automate SQL Server Analysis Services (SSAS) tabular data model processing with SQL Server Agent;

·         Setup of SQL Server alerts to get e-mail notifications in case SQL Server Agent jobs run into problems;

·         Resolve any issues regarding continuous and quality data delivery into the integrated data storage;

·         Optimize existing ETL/ELT processes to improve data delivery and scalability;

·         Perform integrated data storage backups;

·         Provide advises about optimal ETL/ELT process and data storage needs based on international best-practices;

·         Document the integrated data storage and ETL/ELT processes.

Main requirements:

·         Education in computer science, information systems, information technology or related field;

·         Advanced SQL knowledge and extensive working experience with querying relational databases;

·         Advanced knowledge and extensive working experience in dimensional modeling, relational database design, implementation, and maintenance;

·         Proven work experience with querying remote data sources in SQL Server;

·         Proven work experience in designing, implementing, automating, and maintaining ETL/ELT processes to deliver data from various data sources into the integrated data storage;

·         Proven work experience with SSIS package development and scheduling;

·         Proven work experience with automation of SSAS tabular data cube processing;

·         Proven work experience with database backup;

·         Strong time and task management skills;

·         Good written and verbal communication skills;

·         Ability and willingness for continuous learning of new data integration and data storage tools and techniques;

·         Good knowledge of business processes in the banking institution is an advantage;

·         Proficiency in data modeling techniques for BI is an advantage;

·         Working experience with SSAS tabular data model development is an advantage.

Additional information:

·         Information about the employer company see here.

 

Please, send your CV via email to career@ug.edu.ge  till April 30, 2021. In the Subject line please indicate – Data Engineer.

For additional information please contact the Office of Student Employment Support (address: UG 4th Building, Office #111 (first floor) career@ug.edu.ge Tel: 255 22 22, where you will be able to obtain assistance in improving your resume, preparing for an interview and obtaining skills necessary to better present yourself to a potential employer.

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მისამართი: 77ა, მ. კოსტავას ქუჩა, თბილისი, 0171, საქართველო ტელ: 2 55 22 22; info@ug.edu.ge, ug@ug.edu.ge
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იყავი მუდამ კავშირზე და მიიღე უახლესი ინფორმაცია
გაწევრიანდი
ჩვენი სოციალური ქსელი
UG
კონტაქტი
მისამართი: 77ა, მ. კოსტავას ქუჩა, თბილისი, 0171, საქართველო ტელ: 2 55 22 22; info@ug.edu.ge, ug@ug.edu.ge
სასარგებლო ბმულები
ყველა უფლება დაცულია © 2018, საქართველოს უნივერსიტეტი