This role includes designing, implementing, and maintaining data solutions on the Microsoft Azure cloud platform. This includes work with various data sources, formats, and technologies to provide reliable, secure, and scalable data pipelines and analytical solutions. It also involves to collaborates with other professionals, developers and business stakeholders, to deliver data-driven insights and support data-driven decision making.
Key Functional Accountabilities and Activities:
Data Pipeline:
Design, develop, and optimize data pipelines using any of Microsoft products 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 any Microsoft products Azure Active Directory, Azure Key Vault, Azure Data Catalog, and other tools.
Design Dashboards & Reports:
Support data analysis and reporting using any Microsoft products 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.
Qualifications/ Professional Experience:
At least 4 years of experience in Data role is a must, preferably in the financial sector (corporate/investment Banking with strong knowledge in banking products such as CRM and Lending).
Bachelor’s degree in computer science, computer engineering, Business Information System or any additional relevant discipline is a must.
Experience with any Microsoft products Azure data services, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL Database, etc.
Certification in Azure Data Engineer Associate or Azure Data Fundamentals is a plus.
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.
Experience with data visualization tools, such as Power BI, Tableau, Qlik, etc.
Excellent communication, collaboration, and problem-solving skills.
