8 - 10 years
8 - 10 Lacs
Posted:7 hours ago|
Platform:
On-site
Full Time
High proficiency and 8 10 years of experience in designing/developing data analytics and data warehouse solutions with Python and Azure Data Factory (ADF) and Azure Data Bricks. He/She tends to test code manually and does not utilize automated testing frameworks for Python and PySpark. While he has a foundational understanding of Spark architecture and the Spark execution model, he has limited experience in optimizing code based on Spark Monitoring features. Experience in designing large data distribution, integration with service-oriented architecture and/or data warehouse solutions, Data Lake solution using Azure Databricks with large and multi-format data Ability to translate working solution into implementable working package using Azure platform Good understanding on Azure storage Gen2 Hands on experience with Azure stack (minimum 5 years) + Azure Databricks + Azure Data Factory Proficient coding experience using Spark (Scala/Python), T-SQL Understanding around the services related to Azure Analytics, Azure SQL, Azure function app, logic app Should be able to demonstrate a constant and quick learning ability and to handle pressure situations without compromising on quality + Power BI Report development using PBI Analysis of SSRS reports. PBI data modelling experience is advantage. Work involved in report development and as well as migration od SSRS report. Must Have: [Power BI (cloud SaaS) / Paginated Report Builder / Power Query / Data modeling] Strong SQL scripting is required
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