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Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region. QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines. QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications. Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine. QNB Group has an active community support program and sponsors various social, educational and sporting events.
The incumbent is responsible for building and maintaining the data infrastructure that enables data analysis and data science. They design, construct, test, and optimize data pipelines, databases, data warehouses, and other data systems. They also ensure data quality, reliability, and performance, through strong programming, database, and software engineering skills as well as knowledge of data architectures and frameworks.
- University graduate preferably with a Major in computer science, data science, software engineering, information systems, or related quantitative field
- At least 8 years of relevant experience, preferably within a Data Engineer role
- Experience building and optimizing data pipelines, architectures, data sets and all its underlying environments
- Excellent oral and written communication skills (including report writing) in English and Arabic
- Excellent Coding knowledge, Python, Golang, Ruby, Perl, Scala, Java, SAS, R, MATLAB, C, and C++, etc
- Excellent Data Warehouse solutions technical knowledge, such as Panoply or Redshift
- Excellent OS administrative knowledge, MS, Linux, Solaris, UNIX, etc
- Excellent database and relational database related administrative knowledge, MySQL, Oracle, SQL, Etc
- Experience with data pipeline and workflow management tools (ETL, Airflow, etc.) and big data tools (Hadoop, Spark, Kafka, etc)
- Ability to make decisions and follow through with initiatives
- Personal integrity and self-management
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