Ideally with any tools such as .NET Core, .NET Framework, Rest API, Web API and Entity Framework.
Utilization of containers with Docker and Kubernets
MS SQL proficiency (Transact-SQL, SQL Server Agent, ETL with SSIS and ER/Merise models are important requirements)
Practice with version control systems such as Git code repository
Clean code, DDD, Troobleshooting, CI/CD, SOLID, Agile methods
Any knowledge of Data Science development languages such as Python, R, Node.js would be ideal.
Familiarity with Azure toolset (Data Factory, Storage Block, Cosmos DB, Logic Apps, Web Jobs, App Service, Azure AD, Redis Cache, Databricks, HDInsight, EDW)
Familiar with Continuous Integration and Continuous Delivery (Azure DevOps "Pipelines")
Experience with Big Data processing tools such as Apache Hadoop, Spark, Hive, Presto, Sqoop, HBase, Parquet, Azure Data Lake
Business Intelligence tools such as Power Bi and Tableau are a plus
Motivated to learn the most recent technologies for Machine Learning/AI/IoT, etc
Some experience with AWS for Azure-equivalent cloud services (S3, Dynamo DB, Elastic Cache, EMR, Kinesis, etc) is a differential
Great career opportunity, flexible working, offices based in the City for prestigious Trading company.
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