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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Recruitment Services |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Roles and ResponsibilitiesAccountabilities across multiple functional and technical data and analytical areas with a wide range of complexity. Technical architect and leader of medium to complex projects for a specific business capability or across multiple capabilities and technologies focusing on Microsoft Azure Snowflake Cloud DW. Knowledge about other technologies such as SAP HANA, SAP BODS, SAP BW & SQL Servers is preferable as all these exist in K-C s environmentDevelop an effective, coherent, reliable, and phased enterprise data lake architecture approach for Revenue Growth Management to help business grow and changeDevelop a roadmap for the enterprise data lake platforms (Microsoft Azure/ Snowflake) for advance analytics and map business opportunities to appropriate data lake architecture patterns as business strategy and technology matureDevelop and maintain processes to acquire, analyze, store and cleanse and transform large datasets using tools like Microsoft Azure - Azure Data Factory & Spark, SnowSQLMust have experience end to end implementation ofSnowflake cloud data warehouseand end to end data warehouse implementations on cloud preferably using Microsoft Azure.Expertise inSnowflake - data modelling, ELT usingSnowflake SQL, implementing complex stored Procedures with JAVA and standard DWH and ETL conceptsExpertise in Snowflake advanced concepts likesetting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time traveland understand how to use these featuresExpertise in deploying Snowflake features such asdata sharing, events and lake-house patternsHands-on experience withSnowflake utilities, SnowSQL, SnowPipe. Knowledge with Big Data model techniques using Python, R is preferableExpertise in implementing transformation (SCD2) using continuous pipelines with stream & tasks,Experience inData MigrationfromRDBMS, Azure Blob to Snowflake cloud data warehouseDeep understanding ofrelationalas well asNoSQL data stores, Caching methods and approaches (star and snowflake, dimensional modelling)Experience withdata security and data access controls and designExperience on usage of materialized and Secure tables/ views and good understanding of loading, unloading data.Deploy Snowflake following best practices, and provide subject matter expertise in data warehousing, specifically with SnowflakeExperienced in designing, developing, implementing, optimizing and troubleshooting complex data warehouse cloud platforms Saas SnowflakeComfortable in using Azure Cloud Platform and DatabricksThe Data Architect is responsible for design, development and expansion of enterprise data models that support business requirements. They will develop, maintain and support an enterprise-wide data model to show the entity relation across business functions and applications. They will also be heavily involved in analyzing, profiling and reviewing the data elements from each source system and create a logical and physical data model designHelp develop and maintain enterprise data standards, best practices, security policies and governance process for Enterprise data lake globally ,
Keyskills :
subject matter expertisesap bwbig datasap hanadata modelsdata modelingdata standardsmicrosoft azureenterprise datadata warehousingbusiness strategystored proceduresgrowth managementperformance tuningsap bodssapsqletlmap