Data Bricks Engineer, Software Engineer/ Programmer Jobs in Hyderabad - NTT DATA GLOBAL DELIVERY SERVICES PRIVATE LIMITED

Data Bricks Engineer

NTT DATA GLOBAL DELIVERY SERVICES PRIVATE LIMITED

0 to 3 Years

Not disclosed

Expired

Posted: 19 Nov 21

Job Description

Experience in Azure data service and products (i.e. Data Factory, Data Lake Analytics, Analysis services, Azure stream analytics) * Experience in Big Data components such as Kafka, Spark SQL, Data frames, HIVE DB etc implemented using Azure
Experience in Azure data service and products (i.e. Data Factory, Data Lake Analytics, Analysis services, Azure stream analytics)
Experience in Big Data components such as Kafka, Spark SQL, Data frames, HIVE DB etc implemented using Azure Data Bricks would be preferred.
Azure Databricks integration with other services
Read and write data in Azure Databricks
Best practices in Azure Databricks
Experience in SQL Server Integration Services (SSIS) and SQL Server Analysis Services (SSAS)
Design implementation solutions on MS Azure Platforms.
Designed architected scalable data processing and analytics solutions, including technical feasibility, integration, development for Big Data storage, processing consumption of Azure data, analytics, big data (Hadoop, Spark), NoSQL, HDInsight, Stream Analytics, Data Factory etc.
Expert level understanding and knowledge on Azure Data Services including ADF, ADLS, Blob, Data Bricks with a background of Python Spark.
Experience in Azure data service and products (i.e. Data Factory, Data Lake Analytics, Analysis services, Azure stream analytics)
Knowledge on one or more Azure SQL database(Cosmos DB/SQL ), Azure app service (websites), Service Bus, Azure Storage (blob, table, queues), Stream Analytics
Strong understanding on Microsoft Azure services (Virtual Machines, Websites, Storage Blobs, SQL Database, Virtual Network, Traffic Manager, Automation, Active Directory).
Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime.
In-depth understanding of capabilities limitations of various Azure components like IoT Hub/Event Hub, Azure Active Directory, AZURE Machine Learning Studio, AZURE Logic App, HDInsights.
Hands on experience of configuring and deploying applications using Microsoft Azure.
Experience in designing REST APIs and database schema would be good to have.
Good to have knowledge on edge device connectivity, device management, data ingestion, streaming big-data analytics, visualizations, API interfaces