Azure Data Engineer
4 days ago
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
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