About the role
Responsibilities:Working along with architects for planning, designing, integrating, and implementing complex solutions in Azure Cloud computing servicesEnd to end development lifecycle of complex large-scale and multi-user applicationsImplement Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data scenariosBig Data ETL considering enterprise data management for data lakes and data warehousesData Orchestration -Data Transformation and Data integration using MS Azure servicesDevelop batch processing, streaming and integration solutionsAutomate Azure Data Factory pipelinesManage and enforce data policies and standardsMonitor databases and data processing for a specified scenarioImplement big data real-time processing and integration solutionsManage Azure DevOps pipelines
Basic Qualifications:Education: B.E./M.Sc./M.E./M. Tech.Minimum 2 Years in Azure Data Engineering
Knowledge & Skills:Very strong @ SQL-PL SQL-Spark SQL Scala PySparkInteraction with No SQL DatabasesInteraction with Event Hub, IoT Hub DatabasesFiles Processing – XML, CSV, Excel, Jason, etc. FormatsStructured and Non-Structured Data processingData ETL CapabilitiesKnowledge of Distributed Big Data ProcessingData Warehouse and Data Lake Implementation experience in pastInteraction with REST APIs , Web Services
Required Competencies:Customer FocusGood verbal & written English communicationAbility to work with globally diverse teamsReadiness to work in flexible work timingsAbstract & Analytical ThinkingAn interpersonal savvy. A very good team playerNimble learning. Willingness to explore and adapt
Certifications:MS Azure Data Engineer (MS Certified) is preferred
