One of our Clients is looking for Azure Data Engineer, As the Data Engineer, you must have had a recent experience with Azure as well as constantly developing technical skills and knowledge using the latest Azure technologies. You should also be comfortable with stakeholder engagement and take ownership of the delivery of key solution components.

Data Engineer must be able to implement data solutions that use the following Azure services: Azure Cosmos DB, Azure SQL Database, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, and Azure Blob storage.

Skillset:

• Strong SQL Development experience.

• Data Modelling Techniques (Snowflakes, Star Schema)

• ETL/Data warehouse experience.

• Develop batch-processing solutions by using Data Factory and Azure Databricks.

• Working on ADF to build pipelines & configuring with GIT for CI/CD.

• Ingest data into Azure Databricks.

• Design and build modern data pipelines and data streams using Data Factory.

• Support the planning and implementation of data platform services including sizing, configuration, and needs assessment.

Responsibilities:

• Developing and delivering a Business Intelligence Platform based on Microsoft Azure Technologies.

• Designing robust end-to-end, cloud-based BI solutions to efficiently move data from client systems into the cloud and review the development of the solution.

• Connecting the dots from disparate information streams (e.g. extracts from the client system, management reports, contracts) and turning them into structured data that can be analyzed

• Lead by example in your code practices, delivering high-quality code alongside clean & simple solutions

• Track record of delivering analytics solutions to clients in a professional services environment

• Experience across the Microsoft Azure BI Stack, including Azure Data Lake, Azure Data Factory, Azure Data warehouse, Microsoft Power BI

• Experience in optimizing Microsoft Power BI dashboards with a focus on usability, performance, flexibility, testability, and standardization.

• Hands-on experience of Azure Blob storage, HDInsight, Machine Learning Studio, Azure Data Factory.

Reference ID: ADE/ITEL

Contract length: 6 months

Part-time hours: 40 per week

Job Types: Full-time, Part-time, Contract

Salary: £320.00-£390.00 per day

To apply for this position send your application form and you CV to info@itelenet.uk.
Application Form itelenet