Fujitsu Network Communications
Communications Network Solutions • Telecommunications • Network Services
Azure Datalake Engineer
6 days ago
Fujitsu Network Communications
Communications Network Solutions • Telecommunications • Network Services
Description
• Azure Datalake Engineer. • Fujitsu is a leading ICT company in Japan, offering technology products and services.
Requirements
• Relevant experience – 5 to 7 years. • 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. • SQL Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) -- Mandatory Expertise in PowerBI (Mandatory). • 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. • Scale Proficient in a source code control system such as GIT Good knowledge or hands-on of DBT tool. • Excellent communication skills. • Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows. • Experience with different database technologies (e.g., SQL database(s), NoSQL such as Hadoop, MongoDB, Redis, etc. • Experience with exposing data to end-users via Power BI, Azure API Apps. • 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. • Knowledge of Lambda and Kappa architecture patterns and Mastery of SQL. • Experience in turning business use cases and requirements into technical solutions. • Experience in business processing mapping of data and analytics solutions. • Experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies. • Experience driving knowledge transfer and/or training programs. • Experience with agile delivery methodologies, proof of concepts and prototyping. • Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOp. • Knowledge of Master Data Management (MDM) and Data Quality tools. • Experience in managing teams, being a technical coach. • Experience with preparing data for Data Science and Machine Learning purposes. • Experience with Azure data, Machine Learning and Artificial Intelligence solutions.
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