Position: Data Engineer, Gambling Platform
Company: DataArt
Category: Data Engineer
Experience required: 3y
English level: intermediate
Published: 2021-12-01T00:00:00+02:00

About the vacancy

The client is a money gambling platform. DataArt starts work on one of the current projects within the platform and will be one of the vendors. The team will be consist of 2 Azure Developers and 2 Data Engineers. We are searching for a Senior Data Engineer who will be responsible for developing different types of products.

DataArt started as a company of friends and has a special culture that distinguishes it from other IT outsourcers, such as:
- Flat structure. There are no “bosses” and “subordinates”.
- We hire people, not for a project but the company. If the project (or your work on it) is over you go to another project or a paid “Idle”.
- Flexible schedule, ability to change projects, to work from home, to try yourself in different roles.
- Minimal bureaucracy and micromanagement, convenient corporate services.

Technology stack:

•  Azure Service Bus

•  Azure Functions

•  API Management

•  Azure Data Lake

•  Azure Key vault

•  Azure Virtual Network and Gateways

•  Azure Application Insights

•  Azure SQL Server / Database

•  CI/CD pipelines

Responsibilities
- Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
- Implementing ETL process
- Monitoring performance and advising any necessary infrastructure changes
- Defining data retention policies

Must have
- 4+ years of proven experience in SQL Server products, SQL programming
- Experience with PowerBI / SSRS reporting
- Experience with Azure Datawarehouse / Synapse/knowledge of Cube design and implementation
- Hands-on experience with Azure Data Factory, Azure Data Lake, Azure SQL Server / Database, Azure Storage Accounts
- Experience collating and refining data and reporting requirements
- Good knowledge of automation and scripting in a mixture of on-premise and cloud environments
- Able to work with CI/CD pipelines and code repositories to manage change
- Comfortable analysing data to identify problems and areas requiring improvement
- Spoken English

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