Job Description: 

Skills:  Azure, Python, SQL, Kafka, NoSQL, .NET C#

At least 8-10 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 T-SQL Solid understand of spark architecture and experience with performance tuning big data workloads in spark Building complex data transformations on both structure and semi-structured 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 real-time integrations with  Kafka Good understanding of Azure cloud ecosystem; Azure data certification of DP-200/201/203 will be an advantage Proficient with Visual Studio 19+, IntelliJ/eclipse and source control using GIT   Good understanding of Agile, DevOps and CI-CD 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 rest-full services using Python FAST API will be an advantage 

Job Description: 

Skills:  Azure, Python, SQL, Kafka, NoSQL, .NET C#

At least 8-10 years of experience in development of data solutions using Azure cloud platformStrong 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 T-SQLSolid understand of spark architecture and experience with performance tuning big data workloads in sparkBuilding complex data transformations on both structure and semi-structured 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 cosmosFamiliarity with Cognitive Search/Elastic search and its use cases & building integrations to load data to Search servicesGood understanding on distributed systems and experience building real-time integrations with  KafkaGood understanding of Azure cloud ecosystem; Azure data certification of DP-200/201/203 will be an advantageProficient with Visual Studio 19+, IntelliJ/eclipse and source control using GIT  Good understanding of Agile, DevOps and CI-CD 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 rest-full services using Python FAST API will be an advantage