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Job Description
- Understand business requirements and interpret them to technical specifications
- Work with stakeholders including Executives and line managers, to gather analytical requirements and assist with data-related technical issues and support data infrastructure needs
- Create and maintain optimal data architectural design
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data (ETL) from a wide variety of data sources using SQL and big data technologies.
- Conduct periodic meetings with business teams to validate results and projects’ deliverables
- Monitor performance and quality control plans to identify improvements
- Troubleshoot, debug and upgrade existing ETL solutions
- Gather and evaluate users’ feedback
- Writing technical documentation for reference and reporting.
Job Requirements
- MSc. Computer Science, BSc. Computer Engineering or equivalent
- Minimum 2 years’ experience in data engineering or similar role
- Proven experience in Data Warehouse (DWH) design and implementation
- Expert in Visual Studio Data Tool, working on SSIS\SSRS\SSAS projects
- Work closely with Data analyst to deliver complete business solutions
- Strong knowledge of relational databases, SQL server
- Strong knowledge in developing complex SQL Queries, Stored procedures, functions, and triggers
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