ETL Engineer

Badgewell -
Cairo, EgyptPosted 4 years ago

12Applicants for2 open positions

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Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
Verify the structure, accuracy, or quality of warehouse data.
Map data between source systems, data warehouses, and data marts.
Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.
Design and implement warehouse database structures.
Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases.
Provide or coordinate troubleshooting support for data warehouses.
Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.
Design, implement or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.
Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.

BSc in Technology, Software Engineering, Communications or Computer Science.
3-5 years of relevant work experience.
Experience in MS Azure DWH and BI is a plus.
Excellent command of English is a must.
Adaptive, problem solving and analytical skills.
Ability to learn new technology and quickly adapt to technology changes
Proactive and self-motivated
International mindset and working with remote team
Strong understanding of ETL, data structures and data flow.
Proven experience with developing, architecting and deploying data warehouse solutions
Solid understanding of data warehouse development standards and best practices
Extensive experience working with various data sources (SQL and Oracle database, flat files (csv, delimited), Web API, XML, EDI
Experience with Microsoft Power BI is plus.
Advanced T-SQL skills required.
Solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources (OLTP, Data Warehouse)