To support Business Intelligence using the Azure suite of Analytics & Data platforms
The focus of the role is on the technical aspects and implementation of data gathering, integration and model design, with some report and dashboard creation.
Working with Azure DevOps, Azure Synapse Analytics, and Power BI to support creation of data models for strategic & self-service Business Intelligence
Work with the Senior Data Engineer in the following tasks : -
Implementing robust data pipelines in Azure
Creating reusable and scalable data pipelines
Development and deployment of new data platforms, Data Warehouses, Data Marts, etc.
Responsible for using Azure BI services to support strategic & self-service models & reports
Work closely with the Senior Data Engineer in their interactions with Product Owners and Architects to develop Azure Data Platforms
Adhere to internal standards for coding, project tracking and documentation.
Integrate data from source systems / data lake into a data warehouse.
Note : Full training will be given where required for this role.
2-5 years of experience in Data Engineering
At least one year of experience in Data Warehousing with Cloud technologies
Graduate degree educated in computer science or a relevant subject
Understanding of software engineering principals
Understanding or experience of Azure Services like Azure Data Factory, Azure Data Lake is a plus
Understanding of Project methodologies for example Agile, Scrum, etc.
Basic knowledge of various data sources and structures (like RDBMS, Data Lake, IoT, Blob Storage)
Some experience with T-SQL or any variant from other RDBMS
Strong analytical and problem-solving skills
Strong communication skills in dealing with internal customers from a range of functional areas
Ability to work with remote & virtual project teams, third parties & consultants
Willingness to work flexible working hours according to project requirements
Technical documentation skills
Eagerness to learn new technologies and upskill
Competent working as part of a team and independently
Fluent in English
Knowledge of at least one data visualization platform (Microsoft Power BI, Tableau)
Nice to have
Python, .NET, C# knowledge
Microsoft SQL Server Reporting services (SSRS) knowledge
Developing ETL packages using SQL Server Integration Services (SSIS)
Analytical skills, knowledge of SSAS
Languages : French, Italian, Russian or Spanish would be an advantage.