Os teus futuros deveres e responsabilidadesProviding well documented platform with attention to detail.Build out Data Lake ingestion and staging of corporate data sources for Analytics purposes using Azure Data Factory.Design and implement Data Lake lifecycle processes that support effective data provisioning capabilities to feed analytical requirementsImplement ETL routines using Azure Data Factory to load transformed data into the Data Warehouse. Work closely with Power BI report creators empowering them to map reports to standardized data models that are under pinned by the Data Warehouse solution.Diagnose, fix, improve, and automate complex issues across the entire stack to ensure maximum uptime and performanceCollaborate across the team on proper use/integration of our platformConduct knowledge transfer sessions with team membersQualificações requeridas para ser bem sucedido neste role5+ years experience in business data warehouse / data lake and analytics/BI architectures, including the design and development across multiple technologies and analytical platformsDeep understanding of data processes, data modelling, data pipelines (ETL), data lifecycle etcAbility to develop ETL/ELT pipelines for processing and handling large amount of data and monitor the performance of the pipeline and other cloud servicesAbility to develop BI data models and create BI reportsExperience in delivering analytics development within a DevOps environment with excellence shown in backlog planning, building, testing and deliverySolid knowledge of Azure analytic components such as Data Lake, Azure Data Factory, Databricks, Azure SQL, Azure SQL Data Warehouse, Azure Analysis Services and Power BI ServicesKnowledge of data visualization best practice