The function:We are searching for knowledgeable and versatile information engineer with a minimal of 5 years’ expertise in ETL processes, databases, distributed programs, and large-scale information processing. The ultimate candidate will convey in-depth technical information and reveal robust interpersonal communication expertise.You could have autonomy to do what is required to succeed, a transparent and significant function, and backing to reveal mastery of the commerce. You will even have the assist and freedom to make use of industry-leading engineering practices, with a transparent give attention to buyer wants.Your tasks:As a member of the Data Platform Team, you’ll work alongside different engineering groups to supply hands-on experience in constructing our information platform. Your major accountability shall be within the motion, transformation and preparation of information to be used by BI builders, information analysts, information scientists and software program engineers. You will affect the info structure and assist decide one of the best resolution to satisfy every use case.You will contribute to the success of the enterprise by supporting rapid analytics supply, and searching ahead will assist develop an information technique to information the expansion of our platform.The ultimate candidate will:be technically adept and have hands-on information of information engineering in a cloud-based structure;be snug architecting and implementing trendy, scalable, resilient, and performant information architectures;perceive how greatest to deal with workloads to satisfy various necessities, from operational analytics to large information options and ML insights;be a assured designer and developer of well-tested and instrumented information pipelines;perceive the advantages of highly-automated information and deployment pipelines, supporting agile, iterative supply of analytics worth;have expertise integrating information from semi-structured and structured information buildings, understanding SQL/NoSQL design concerns;collaborate comfortably in a multi-disciplinary setting alongside BI builders, information analysts, information scientists, software program engineers and non-technical stakeholders;be extremely motivated, pushed and adaptable;be captivated with studying and sharing information; anddelight in recognising enterprise wants and delivering to satisfy them.Technologies:Relational and non-relational databases, information warehouses, Azure information platform companies (together with Azure Data Factory, Azure Data Lake, Cosmos DB, SQL Server, Databricks, Synapse Analytics, Analysis Services & Power BI), Azure DevOps companies (together with Boards, Git Repos & YAML pipelines). Knowledge of recent microservice/distributed programs shall be helpful, as will PowerShell & C#.