This position needs an individual contributor role with hands on work
Development experience in BI/DW is must
Understanding of dimensional and relational modelling
Expertise 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 programming
Expertise in ETL Design, development.
Good understanding of architecture and design to meet functional and non-functional requirements
Good 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, Cassandra
Experience with data ingestion technologies such as Azure Data Factory and Spark(Databricks) is must
Software development full lifecycle methodologies, patterns, frameworks, libraries and tools
Experience with CICD Process
Hands on experience on Azure storage services like SQL DB, Tables, Files and Blobs
Experience of executing cloud native projects in Azure with DevOps using VSTS along with Microsoft as well as
