Company: | TECHCARROT |
---|---|
Job Role: | Data Engineer - Azure |
Experience: | (5 years) |
Vacancy: | 10+ |
Qualification: | Graduate in data science |
Salary: | 85000AED/Year |
Location: | Dubai |
Join us on Telegram | Click Here |
Apply Mode: | (Online) |
Deadline: | Not Mentioned |
Job Description:
- - At least 5 years of involvement on Azure
- - At least 5 years of involvement with creating information ingestion, information preparing and scientific pipelines for huge information, social data sets, NoSQL and information stockroom arrangements
- - Extensive experience giving viable course inside the Azure Native administrations
- - Extensive active experience executing information movement and information preparing utilizing Azure administrations: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, and so forth
- - Minimum of 5 years of active involvement with Azure and Big Data innovations, for example, Powershell, C#, Java, Node.js, Python, SQL, ADLS/Blob, Spark/SparkSQL, Databricks, Hive and streaming advancements, for example, Kafka, EventHub, NiFI and so on
- - Well knowledgeable in DevSecOps and CI/CD arrangements
- - Cloud relocation systems and cycles including instruments like Azure Data Factory, Data Migration Service, SSIS, Event Hub, Kafka, and so forth
- - Minimum of 5 years of RDBMS experience
- - Experience in utilizing Big Data File Formats and pressure methods
- - Experience working with Developer apparatuses like Azure DevOps, Visual Studio Team Server, GitLabs, Jenkins, and so on
- - Bachelors or more serious level in Computer Science or a connected discipline.
- - DP-200 Implementing an Azure Data Solution
- - DP-201 Designing an Azure Data Solution
- - AZ-400: Designing and Implementing Microsoft DevOps Solutions
- - DevOps on an Azure stage
- - Experience creating and conveying ETL arrangements on Azure
- - IoT, occasion driven, microservices, Containers/Kubernetes in the cloud
- - Familiarity with the innovation stack accessible in the business for metadata the executives: Data Governance, Data Quality, MDM, Lineage, Data Catalog and so forth
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