Azure Datalake Engineer

3 days ago

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Logo of Fujitsu Network Communications

Fujitsu Network Communications

Fujitsu Network Communications is a leading provider of networking solutions, digital transformation services, and IT infrastructure solutions globally. The company focuses on promoting sustainability and improving supply chains through innovative digital transformations. Fujitsu also collaborates with strategic partners such as AWS to deliver customer-centric solutions across various industries. Their initiatives are designed to address business challenges, societal issues, and the evolving needs of the digital age. Fujitsu is committed to making the world more sustainable by building trust in society through technological innovation.

Communications Network Solutions β€’ Telecommunications β€’ Network Services

πŸ“‹ Description

β€’ Good To Have β€’ Knowledge of Master Data Management (MDM) and Data Quality tools β€’ Experience in managing teams, being a technical coach β€’ Experience with preparing data for Data Science and Machine Learning purposes β€’ Experience with Azure data, Machine Learning and Artificial Intelligence solutions

🎯 Requirements

β€’ Relevant experience – 5 to 7 years. β€’ Azure Databricks, Azure SQL, Power BI Expertise to Implementing Data warehousing Solutions experience as Data Engineer in Azure Big Data Environment Programming experience in Scala or Python, β€’ SQL Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) -- Mandatory Expertise in PowerBI (Mandatory) β€’ Good understanding of other Azure services like Azure Data Lake Analytics & U-SQL, Azure SQL DW Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance β€’ Scale Proficient in a source code control system such as GIT Good knowledge or hands-on of DBT tool β€’ Excellent communication skills β€’ Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows β€’ Experience with different database technologies (e.g., SQL database(s), NoSQL such as Hadoop, MongoDB, Redis, etc. β€’ Experience with exposing data to end-users via Power BI, Azure API Apps. β€’ Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics and Azure SQL DB β€’ Knowledge of Lambda and Kappa architecture patterns and Mastery of SQL β€’ Experience in turning business use cases and requirements into technical solutions β€’ Experience in business processing mapping of data and analytics solutions β€’ Experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies β€’ Experience driving knowledge transfer and/or training programs β€’ Experience with agile delivery methodologies, proof of concepts and prototyping β€’ Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOp

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