Lead Data engineer

Role : Lead Data Engineer

Experience :15+ Years

Mandatory Skill: Azure + Python + Databricks/Spark+ SQL

Location: Bangalore/Hyderabad

Notice Period:  less than 60 Days

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 us

Role : Lead Data Engineer

Experience :15+ Years

Mandatory Skill: Azure + Python + Databricks/Spark+ SQL

Location: Bangalore/Hyderabad

Notice Period:  less than 60 Days

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 us