Experience: 6 to 8 Years
- 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