This role includes designing, implementing and maintaining data solutions on the Microsoft Azure cloud platform. This includes working with various data sources, formats and technologies to provide reliable, secure, and scalable data pipelines and analytics solutions. It also involves collaborating with other professionals, developers and business stakeholders to deliver data-driven insights and support data-driven decision making.
Data Pipeline:
Design, develop and optimize data pipelines using Azure Data Factory, Azure Databricks, Azure Synapse Analytics and other Azure services.
Implement efficient incremental data processing to validate and enrich data driving business decisions and applications.
Data Modelling:
Perform data modeling, partitioning, and indexing to optimize data storage and access performance.
Ensure data quality, reliability and availability by implementing data validation, monitoring and alerting mechanisms.
Implement data security and governance best practices using Azure Active Directory, Azure Key Vault, Azure Data Catalog, and other tools.
Dashboards & Reports Design:
Support data analysis and reporting using Azure Analysis Services, Azure Data Lake Analytics, Azure SQL Data Warehouse, Power BI, and other tools.
Document data architectures, data flows, data dictionaries, and data standards.
At least 8 years of experience in Data related role is a must with at least 5 years of experience in Data related roles in Financial sector (Corporate/Investment Banking) with strong knowledge in Banking products such as CRM, Lending is a must.
Bachelor’s degree in Computer Science, Computer Engineering, Business Information System or any additional relevant discipline is a must.
A professional certificate in Azure Data Engineer Associate or Azure Data Fundamentals is a plus.
Experience with Azure data services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL Database, etc.
Experience with data integration tools, such as Azure Data Factory, SSIS, Informatica, Talend, etc.
Experience with data modeling tools, such as Azure Data Studio, SSAS, Erwin, etc.
Core Behavioral:
Innovation and Initiative
Change Management
Developing People Capability
Partnership Management
Strategic Thinking
Self-Effectiveness
Technical Competencies:
System Design and Development
Business Relationship Management
Database Management and Administration
Enterprise Architecture
Capable of communicating in two of the working languages of the bank (Arabic, English, French) of which English is a must.