62404-1 Microsoft AzureDigital Microsoft Power BIDigital Microsoft Power PlatformPLSQL
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Monthly Salary:
Posted on:
5 days ago
Vacancies:
1 Vacancy
Job Summary
Location: BangaloreKA
Role Descriptions: Analytics Engineer Job Description Role PurposeDesign build and support enterprise analytics solutions using Microsoft Fabric Azure Data Services Power BI and Power Platform enabling batch and realtime insights for business and leadership stakeholders. Key ResponsibilitiesData Engineering PipelinesDevelop and maintain data pipelines using Azure Data Factory and Fabric PipelinesImplement Copy Activity Data Flows Control Flow Triggers Metadata Filter activitiesSupport ingestion into Lakehouse Eventhouse and Data WarehouseFabric PySpark WarehousingDevelop PySpark Notebooks for data transformation joins aggregations and stringdate operationsOptimize performance using time travel partitioning and load strategiesBuild and manage data warehouse tables views procedures DMVsImplement data masking columnlevel and rowlevel securityRealTime AnalyticsDevelop realtime solutions using Azure Data Explorer Fabric EventhouseWrite KQL queries for filtering aggregations joins windowing functions and stream analysisPower BI Semantic ModelingBuild semantic models and Power BI dashboardsDevelop DAX measures and calculated columnsImplement Power Query transformations (append merge relationships)Apply RowLevel Security (RLS) endorsement and dataset governancePower Apps (Supporting Role)Develop Canvas Apps using Power Fx forms containers and reusable componentsConfigure ModelDriven Apps (entities views forms BPFs)Integrate Power Apps with analytics and backend data sourcesMandatory SkillsMicrosoft Fabric (Lakehouse Warehouse Eventhouse)Azure Data FactoryPySpark Spark NotebooksPower BI (DAX Power Query Data Modeling)TSQL and KQL
Essential Skills: Analytics Engineer Job Description Role PurposeDesign build and support enterprise analytics solutions using Microsoft Fabric Azure Data Services Power BI and Power Platform enabling batch and realtime insights for business and leadership stakeholders. Key ResponsibilitiesData Engineering PipelinesDevelop and maintain data pipelines using Azure Data Factory and Fabric PipelinesImplement Copy Activity Data Flows Control Flow Triggers Metadata Filter activitiesSupport ingestion into Lakehouse Eventhouse and Data WarehouseFabric PySpark WarehousingDevelop PySpark Notebooks for data transformation joins aggregations and stringdate operationsOptimize performance using time travel partitioning and load strategiesBuild and manage data warehouse tables views procedures DMVsImplement data masking columnlevel and rowlevel securityRealTime AnalyticsDevelop realtime solutions using Azure Data Explorer Fabric EventhouseWrite KQL queries for filtering aggregations joins windowing functions and stream analysisPower BI Semantic ModelingBuild semantic models and Power BI dashboardsDevelop DAX measures and calculated columnsImplement Power Query transformations (append merge relationships)Apply RowLevel Security (RLS) endorsement and dataset governancePower Apps (Supporting Role)Develop Canvas Apps using Power Fx forms containers and reusable componentsConfigure ModelDriven Apps (entities views forms BPFs)Integrate Power Apps with analytics and backend data sourcesMandatory SkillsMicrosoft Fabric (Lakehouse Warehouse Eventhouse)Azure Data FactoryPySpark Spark NotebooksPower BI (DAX Power Query Data Modeling)TSQL and KQL
Desirable Skills:
Keyword:
Skills: Digital : Microsoft AzureDigital : Microsoft Power BIDigital : Microsoft Power PlatformPL/SQL
Experience Required: 4-6
Role Descriptions: Analytics Engineer Job Description Role PurposeDesign build and support enterprise analytics solutions using Microsoft Fabric Azure Data Services Power BI and Power Platform enabling batch and realtime insights for business and leadership stakeholders. Key ResponsibilitiesData Engineering PipelinesDevelop and maintain data pipelines using Azure Data Factory and Fabric PipelinesImplement Copy Activity Data Flows Control Flow Triggers Metadata Filter activitiesSupport ingestion into Lakehouse Eventhouse and Data WarehouseFabric PySpark WarehousingDevelop PySpark Notebooks for data transformation joins aggregations and stringdate operationsOptimize performance using time travel partitioning and load strategiesBuild and manage data warehouse tables views procedures DMVsImplement data masking columnlevel and rowlevel securityRealTime AnalyticsDevelop realtime solutions using Azure Data Explorer Fabric EventhouseWrite KQL queries for filtering aggregations joins windowing functions and stream analysisPower BI Semantic ModelingBuild semantic models and Power BI dashboardsDevelop DAX measures and calculated columnsImplement Power Query transformations (append merge relationships)Apply RowLevel Security (RLS) endorsement and dataset governancePower Apps (Supporting Role)Develop Canvas Apps using Power Fx forms containers and reusable componentsConfigure ModelDriven Apps (entities views forms BPFs)Integrate Power Apps with analytics and backend data sourcesMandatory SkillsMicrosoft Fabric (Lakehouse Warehouse Eventhouse)Azure Data FactoryPySpark Spark NotebooksPower BI (DAX Power Query Data Modeling)TSQL and KQL
Essential Skills: Analytics Engineer Job Description Role PurposeDesign build and support enterprise analytics solutions using Microsoft Fabric Azure Data Services Power BI and Power Platform enabling batch and realtime insights for business and leadership stakeholders. Key ResponsibilitiesData Engineering PipelinesDevelop and maintain data pipelines using Azure Data Factory and Fabric PipelinesImplement Copy Activity Data Flows Control Flow Triggers Metadata Filter activitiesSupport ingestion into Lakehouse Eventhouse and Data WarehouseFabric PySpark WarehousingDevelop PySpark Notebooks for data transformation joins aggregations and stringdate operationsOptimize performance using time travel partitioning and load strategiesBuild and manage data warehouse tables views procedures DMVsImplement data masking columnlevel and rowlevel securityRealTime AnalyticsDevelop realtime solutions using Azure Data Explorer Fabric EventhouseWrite KQL queries for filtering aggregations joins windowing functions and stream analysisPower BI Semantic ModelingBuild semantic models and Power BI dashboardsDevelop DAX measures and calculated columnsImplement Power Query transformations (append merge relationships)Apply RowLevel Security (RLS) endorsement and dataset governancePower Apps (Supporting Role)Develop Canvas Apps using Power Fx forms containers and reusable componentsConfigure ModelDriven Apps (entities views forms BPFs)Integrate Power Apps with analytics and backend data sourcesMandatory SkillsMicrosoft Fabric (Lakehouse Warehouse Eventhouse)Azure Data FactoryPySpark Spark NotebooksPower BI (DAX Power Query Data Modeling)TSQL and KQL
Desirable Skills:
Keyword:
Skills: Digital : Microsoft AzureDigital : Microsoft Power BIDigital : Microsoft Power PlatformPL/SQL
Experience Required: 4-6
