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About the role
Area(s) of responsibility Azure Data Engineer Experience: 6-10 years Azure Lead with experience in Azure ADF, ADLS Gen2, Databricks, PySpark and Advanced SQL Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud 4 Years of experience in Azure Databricks and PySpark Experience in Performance Tuning Experience with integration of different data sources with Data Warehouse and Data Lake is required Experience in creating Data warehouse, data lakes Understanding of data modelling and data architecture concepts To be able to clearly articulate pros and cons of various technologies and platforms Experience in supporting tools GitHub, Jira, Teams, Confluence need to be used Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud platforms. Mandatory Skillset: Azure Databricks, PySpark and Advanced SQL Area(s) of responsibility Azure Data Engineer Experience: 6-10 years Azure Lead with experience in Azure ADF, ADLS Gen2, Databricks, PySpark and Advanced SQL Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud 4 Years of experience in Azure Databricks and PySpark Experience in Performance Tuning Experience with integration of different data sources with Data Warehouse and Data Lake is required Experience in creating Data warehouse, data lakes Understanding of data modelling and data architecture concepts To be able to clearly articulate pros and cons of various technologies and platforms Experience in supporting tools GitHub, Jira, Teams, Confluence need to be used Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud platforms. Mandatory Skillset: Azure Databricks, PySpark and Advanced SQL
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