Azure Data Engineer

Experience in Agile/Scrum methodologies and project management tools such as Jira. Certifications in relevant BI and cloud technologies (preferably Azure) are a plus. Knowledge of Microsoft Fabric (preferred).Desired Skills (Good To Have): Data modeling (Native HANA), TDV, SQL Scripting Hands-on experience on Power BI Experience of ETL tools, preferably Talend Responsibilities: Talk to Business and work on requirement gathering Get the functional understanding for the requirements and create business requirement documents Responsible for designing relational and non-relational data stores on Azure. Responsible for designing and developing solutions in Azure big data frameworks/tools: Azure Data Lake, Azure Data Factory, Azure Data Bricks, Synapse, SQL Server, HDInsight. Gather and process raw data at scale that meet functional / non-functional business requirements (including writing scripts, REST API calls, SQL Queries, etc.) Responsible for developing data set processes for data modeling, mining and production. Responsible for maintaining Raw and Curated Zones on ADLS and maintaining data temperatures across storage areas. Responsible for cost analysis and optimization of Azure resources used in BI Landscape and for designing governance solutions to make sure that the resources are used in an optimal and cost-effective manner. Responsible for supporting our Software Developers, Data Analysts and Data Scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Develop complex SQL queries in Azure SQL. Mentor and guide junior team members to get deliverables complete. Participate in defining best practices around Data models development and deliverables. End to end delivery of any project including Business communication, development, testing, migrations, support, user training and documentation. Responsible for query/reports performance tuning Identify, analyze, and interpret trends or patterns in complex data. Transform analyses into concrete, actionable recommendations to drive decision-making.