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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Manufacturing |
| Functional Area | IT Operations / EDP / MIS |
| EmploymentType | Full-time |
Above position is expected to implement Data Orchestration -Data Transformation and Data integration using MS Azure services.Data Extraction, Transformation, Loading are main responsibilities considering enterprise data management for data lakes and data warehouses.MS Azure Data Engineer (MS Certified) is preferred.ResponsibilitiesImplement Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data scenariosManage Azure DevOps pipelinesDevelop batch processing, streaming and integration solutionsAutomate Azure Data Factory pipelinesManage source data access securityConfigure authentication and authorizationManage and enforce data policies and standardsMonitor databases and data processing for a specified scenarioImplement big data real-time processing and integration solutionsBasic QualificationsEducation: B.E./M.Sc./M.E./M. Tech.Experience: 5 7 years in Core Data Engineering.Minimum 3 Years in Azure Data EngineeringKnowledge & SkillsVery strong @ SQL-PL SQL-Spark SQL.Interaction with No SQL DatabasesInteraction with Event Hub, IoT Hub DatabasesFiles Processing XML, CSV, Excel, Jason, etc. FormatsStructured and Non-Structured Data processingData ETL Capabilities.Knowledge of Distributed Big Data ProcessingData Warehouse and Data Lake Implementation experience in past.Interaction with REST APIs , Web ServicesRequired CompetenciesCustomer FocusGood verbal & written English communicationAbility to work with globally diverse teams.Readiness to work in flexible work timings.Abstract& Analytical Thinking.An interpersonal savvy. A very good team playerNimble learning. Willingness to explore and adapt,
Keyskills :
sqljavadata warehousingpythonbig datadata managementdata processingdata extractionenterprise databatch processingdata integrationinfmaticae data