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Azure Data Engineer - DataLake/Databricks (6-8 yrs) Any Location (Analytics & | Engineer in En1

Visionyle

This listing was posted on hirist.

Azure Data Engineer - DataLake/Databricks (6-8 yrs) Any Location (Analytics &

Location:
Any Location
Description:

Position Name: Azure Data EngineerPosition Mode: PermanentExperience: 6 YearsJoining Location: RemoteNotice: ImmediateMode of Interview : 2-3 roundsSUMMARY:Azure Data Engineer should have experience on Azure data lake, Azure SQL database, Databricks, Azure Data Factory, and Azure SQL data warehouse and controlling and granting database access and migrating o premise database to Azure.Azure Data Engineer should have experience in developing data solutions integrating with CRM applications like Salesforce and experience in applications using Spark - SQL in databricks for data extraction, transformation, and aggregation from multiple file formats for analyzing and transforming the data to uncover insights.ROLES And RESPONSIBILITIES:- Develop Data Platforms in Microsoft Azure Well-Architected Framework- Enterprise Data integration and consolidation using Azure Data Factory- Finetune Azure Databricks cluster to process data- Develop data processing pipelines using Python / Spark- Design, build and deliver Azure SQL and cloud data solutions such as HD Insight, Databricks, Azure Synapse Analytics, Data Factory, Azure Data Lake Storage Gen2, Azure DevOps- Experience with streaming/event frameworks such as Azure Event Hubs, Azure Event Grid- Strong knowledge and experience in Data Warehouse, Data Mart, and Data Modelling including Big Data Technologies- Expertise in SQL Server and SQL Server Integration Services (SSIS)- Analyze complex data- Produce high-quality code that allows to place solutions into production- Very good on SQL Server and above with MSBI (SSIS, SSRS, SSAS)- Design, build and maintain Azure Data Analytics solutions- Integrate Azure data services with other tools and platforms- Be able to scale your design and solutions according to the organizations needs- Experience of working in Agile delivery SCRUM experience is mandatoryQualification & Technical skills:- Bachelor's degree in the field of computer science.- 6 plus years of overall experience in IT and 3+ years of experience in Azure data engineering tools- Microsoft Certified: Azure Data Engineer Associate- Experience in Databricks, Azure Synapse Analytics, Data Factory, Azure Data Lake Storage Gen2- Experience in Azure DevOps- Experience with SQL Server Integration Services, SQL Server Analysis Services- Skilled creative and technical problem-solver, able to isolate and resolve the issues in real-time.- Must have strong interpersonal skills and the ability to train and share knowledge.- Must be able to work after hours and weekends as required to support Production issues. (ref:hirist.tech)
Education/experience:
5 To 7 Years
Company:
Visionyle
Posted:
April 25 on hirist
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Azure Data Engineer - DataLake/Databricks (6-8 yrs) Any Location (Analytics & is a Engineering Engineer Job at Visionyle located in India. Find other listings like Azure Data Engineer - DataLake/Databricks (6-8 yrs) Any Location (Analytics & by searching Oodle for Engineering Engineer Jobs.