This position needs an individual contributor role with hands on workDevelopment experience in BI / DW is mustUnderstanding of dimensional and relational modellingExpertise in Azure Data Factory and DataBricks (Spark)Experience with data platform including but not limited to hands-on experience with data loading and transformations using Azure Data Factory.Expertise with Spark programmingExpertise in ETL Design, development.Good understanding of architecture and design to meet functional and non-functional requirementsGood understanding of Datalake, EDW, solution design artifacts, hosting solutions such as private / public cloud IaaS, PaaS and SaaS platforms.Experience in architecting and designing technical solutions for Microsoft-centric solutions based on industry standards using Azure IaaS, PaaS and SaaS capabilities.Experience with any of the following like unstructured data technologies such as SQL Server, Azure SQL, Azure Data Lake, DataBricks, HD Insights, Synapse, Hadoop, Cloudera, MongoDB, MySQL, Neo4j, CassandraExperience with data ingestion technologies such as Azure Data Factory and Spark(Databricks) is mustSoftware development full lifecycle methodologies, patterns, frameworks, libraries and toolsExperience with CICD ProcessHands on experience on Azure storage services like SQL DB, Tables, Files and BlobsExperience of executing cloud native projects in Azure with DevOps using VSTS along with Microsoft as well asRequired Skills
- MySql
- cosmos
- Data Architecture
- SQL
Skills Required
Mysql, Cosmos, Data Architecture, Sql, Hadoop, Cloudera, Mongodb