Position: Cloud Architect, Data Landscape
Company: DataArt
Category: DevOps
Experience required: 3y
English level: upper

DataArt acts as its primary technology execution and development partner, helping solve challenges our client is facing on their transition from an offline-based service model to online, computer-based operations.

DataArt serves as a solution provider. Our team of senior Data Engineers, who are creating a new data landscape for the whole IT infrastructure of the company, is looking for a Middle Data Engineer. The client is using Azure and AWS clouds and is looking for assistance to support their expansion to China.

We hire people not for a project but for the company. If the project (or your work on 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 any major China’s cloud (Alibaba, Tencent)
- Solid MS SQL knowledge
- Expertise in SQL and comfortable designing, writing, and maintaining complex SQL-based ETL process
- Experience building batch and micro-batch data pipelines; ETL design, implementation, and maintenance
- Developer experience with Python, NodeJS, C# or Java
- Spoken and written English

Would be a plus

- Experience working with the Azure Data Platform (Azure SQL, Azure Storage) and/or Snowflake platform
- Understanding of data warehouse layers, approaches to load data into such layers, and relevant algorithms
- Experience in designing the data platform architecture
- Experience with schema design and data modeling, and analytical skills to QA the data and identify gaps and inconsistencies
- Experience with Azure DataLake Storage, Azure Databricks, Azure Data Factory, and Azure Functions
- Knowledge and experience with Bash, and/or other scripting languages