Azure Data Engineer

Role & responsibilities

• Total Experience: 3+ Years
• Relevant experience in Azure data engineering: 2+ years.
• Relevant experience in Databricks (PySpark / Scala / SparkSQL): 1+ years.
• Relevant experience in Azure Data Factory (ADF): 1+ years.
• Relevant experience in SQL:  1+ years.
• Required Skills: Azure Synapse, Azure Analysis Services, Azure Data Lake Storage, and Azure SQL databases.
• Good to have: Azure DevOps, Power BI, Azure IAAS services, and Excel Pivot Tables.
• A minimum of 3 years of development and architect experience with large-scale data and analytics solutions.
• 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 in developing ADF pipeline for data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time.
• Strong knowledge in querying external tables in Azure Synapse.
• Experience in managing teams, being a technical coach.
• 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 DevOps.
• Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows.

Preferred candidate profile