Position: Middle Data Engineer, Investment Consulting Services
Company: DataArt
Category: SQL
Experience required: 2y
English level: intermediate

DataArt’s team is supporting the existing products and creating new services and applications for the client. They specialize in four market sectors: Tech & Telco, Services, Health Care, and Consumer. The client has many bespoke applications. Currently, we are working on a data platform modernization project that is aimed to leverage Cloud Capabilities for the data estate.

We hire people not to a project, but to the company. If the project (or your work in it) is over, you go to another project or to a paid “Idle”.

Must have:

3+ years of engineering experience, 2+ years working with data in the cloud, ideally using Azure
Experience working with the Azure Data Platform (Azure SQL, Azure Data Factory, Azure Storage, Azure Functions)
Solid MS SQL knowledge
Expertise in SQL and comfortable designing, writing, and maintaining complex SQL-based ETL
Experience building batch and micro-batch data pipelines; ETL design, implementation, and maintenance
Experience working with Git
Spoken and written English

Would be a plus:

Understanding of data warehouse layers, approaches to load data into such layers, and relevant algorithms
Experience in designing a data platform architecture with relation to the infrastructure
Experience with schema design and data modeling, and analytical skills to QA the data and identify gaps and inconsistencies