Azure Data Engineer (Contract/Immediate Start)


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

8th January 2021

Location

London

Salary/Rate

£300 - £500

Type

Contract

Start Date

ASAP

This job has now expired please search on the home page to find live IT Jobs.

Our ClientAn exciting opportunity has arisen to join a fast-growth FinTech business as an Azure Data Engineer. The RoleThe successful applicant will join the business on a 6-12 month contract with opportunity to extend. Who we are looking forIn order to be successful in this role, you will ideally have the following experience;Proven experience working within an agile environmentHave working with cloud serviceGood working knowledge of Azure data services e.g.: Azure SQL Database options, Azure Cosmos DB, Data Lake, Azure Storage, Data Factory, Databricks. Good working Knowledge of Azure Key Vault, Azure Functions, Logic Apps , Power BI Ability to debug issues with a development or PR environment, and understand if the environment is representative of the production infrastructure. Proficient (over a years experience) with both Python (in a Spark environment) and SQL Experience with scripting languages such as PowerShell or bash Knowledge of using debugging tools, profilers and linters. Understanding of Test Driven Development Able to work with Business Analysts to ensure stories are implementable and have workable acceptance criteria Able to discuss problem solutions in a reasoned and dispassionate way Able to implement business requirements as software components with accompanying unit tests and integration tests as required. Good knowledge of Azure DevOps Pipelines is ideal but knowledge of any other Enterprise product/tool for CI/CD is also considered, e.g.: Terraform, Jenkins, etc. Able to manage branching and pull requests and engage in peer code reviews. Ability to modify CI/CD pipelines as required, without adversely impacting the work of colleagues. Knowledge of delivering solutions in the Databricks/Spark environment - architecture, execution and debugging.

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