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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time