| Job Location | Khobar, Saudi Arabia |
| Education | Not Mentioned |
| Salary | Not Mentioned |
| Industry | Banking |
| Functional Area | Not Mentioned |
The Senior Data Engineer will be responsible for converting raw data into usable information for analytics and business decision-making. He/she will be working with various source systems of bank to building platforms to enable the business has access to the best possible performance metrics across various departments. He/she will be closely working with data scientists to improve the quality and accuracy of the data, enabling business to make more responsible business decisions. He/she will be responsible for data consumption layers such as analytics as well as ensuring the accuracy, completeness, and reliability of data used in business decision-making processes.ÿ1. Analyze and organize raw data, combine raw information from different sources, and build data systems and pipelines required for business reporting and analytics ensuring data consistency, quality, and accuracy across the banks systems and applications.2. Collaborate with business units to understand and evaluate their data needs and provide solutions that meet those needs, while also aligning with the banks overall data strategy.3. Conduct complex data analysis and report on results, interpret trends and patterns, and prepare data for prescriptive and predictive modeling. And build algorithms and prototypes in collaboration with data scientists and architects on several projects.4. Explore ways to enhance data quality and reliability aligning with data quality and data governance processes that promote data consistency, quality, and accuracy across the banks systems and applications.5. Develop and implement data integration and data warehousing solutions that supports the banks business objectives and enables effective data management and analytics.6. Perform the data modelling tasks ensuring alignment with the banks data strategy and supports the banks business objectives.7. Work closely with infrastructure and DBAs in maintaining the companys data infrastructure, including databases, data warehouses, and data lakes, to ensure scalability, flexibility, and resilience.8. Engage in BAU activities and ETL EOD support tasks wherever required.9. Stay up to date with emerging technologies and trends in data management and analytics to ensure the banks data capabilities remain competitive and innovative.
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