DescriptionSkills:Azure Python SQL Kafka NoSQL .NET C#
- At least 810 years of experience in development of data solutions using Azure cloud platform
- Strong programming skills in Python
- Good understanding Massively parallel processing (MPP) systems experience building Datawarehouse/DataMart on Azure Synapse SQL pools (SQL DW)
- Strong SQL skills and experience writing complex yet efficient SPROCs/Functions/Views using TSQL
- Solid understand of spark architecture and experience with performance tuning big data workloads in spark
- Building complex data transformations on both structure and semistructured data (XML/JSON) using Pyspark & SQL refactoring tradition ML model to run on spark framework
- Familiarity with Azure Databricks environment and deploying spark code in databricks cluster
- Good understanding of No SQL and its use case Modelling No SQL schemas & containers building integration to read/write to cosmos
- Familiarity with Cognitive Search/Elastic search and its use cases & building integrations to load data to Search services
- Good understanding on distributed systems and experience building realtime integrations with Kafka
- Good understanding of Azure cloud ecosystem; Azure data certification of DP200/201/203 will be an advantage
- Proficient with Visual Studio 19 IntelliJ/eclipse and source control using GIT
- Good understanding of Agile DevOps and CICD automated deployment (e.g. Azure DevOps Jenkins)
- Good knowledge on Microservices architecture and any experience in building microservices with .NET Core WebAPI will be an advantage
Any experience building restfull services us
QualificationsSkills:Azure Python SQL Kafka NoSQL .NET C#
- At least 810 years of experience in development of data solutions using Azure cloud platform
- Strong programming skills in Python
- Good understanding Massively parallel processing (MPP) systems experience building Datawarehouse/DataMart on Azure Synapse SQL pools (SQL DW)
- Strong SQL skills and experience writing complex yet efficient SPROCs/Functions/Views using TSQL
- Solid understand of spark architecture and experience with performance tuning big data workloads in spark
- Building complex data transformations on both structure and semistructured data (XML/JSON) using Pyspark & SQL refactoring tradition ML model to run on spark framework
- Familiarity with Azure Databricks environment and deploying spark code in databricks cluster
- Good understanding of No SQL and its use case Modelling No SQL schemas & containers building integration to read/write to cosmos
- Familiarity with Cognitive Search/Elastic search and its use cases & building integrations to load data to Search services
- Good understanding on distributed systems and experience building realtime integrations with Kafka
- Good understanding of Azure cloud ecosystem; Azure data certification of DP200/201/203 will be an advantage
- Proficient with Visual Studio 19 IntelliJ/eclipse and source control using GIT
- Good understanding of Agile DevOps and CICD automated deployment (e.g. Azure DevOps Jenkins)
- Good knowledge on Microservices architecture and any experience in building microservices with .NET Core WebAPI will be an advantage
Any experience building restfull services us