The Azure Data Engineer is responsible for building, implementing and supporting Azure Microsoft BI solutions to meet market and/or client requirements. They apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity.
Personality
- Sound skills and hands on experience with Azure Data Factory, Azure Data Lake, SQL Data Warehouse, Azure Blob, Azure Storage Explorer
- Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, custom Azure development etc.
- Knowledge of Azure Data Catalog, Event Grid, Service Bus, SQL and Synapse
- Good technical knowledge in SQL Server BI suite (ETL, Reporting, Analytics, Dashboards) using SSIS, SSAS, SSRS
- SQL (5+ years), BI Scripting (Python, C#, Etc.)
- Experience with QlikView or QlikSense as a plus
- Able to support with time zone difference.
- Able to work under high pressure.
- Experience with ETL or ELT from too many source a plus
- Detailed knowledge of core BI Fundamentals (Multi-Dimensional, Star Schemas, Cubes, Data Flows and Schemas)
- Demonstrated ability to analyze and plan viable BI solutions as required
- An organized and systematic approach to work, and high attention to detail
- Demonstrated project implementation experience
- Ability to quickly learn and apply new skills within the BI Sector
- Bachelor s Degree in related field - IT, Computer Science
- 4+ years of experience in IT
- Able to work independently with minimal guidance in a rapidly changing environment
- Ability to manage multiple clients and deliverables at any given time through effective time-management and planning
- Demonstrate good interpersonal skills and communication, both written and spoken
- Strong executive presence, facilitation skills, drive for results, attention to quality and detail, and a collaborative attitude
- Good work ethic and the ability to work with diverse teams across different time zones
- Strong ability to multi-task and adapt to changing priorities