Senior Consultant - Data Engineering

Posted 2 months agoViewed
108200 - 156900 USD per year
USFull-TimeData Engineering
Company:3Cloud
Location:US
Languages:English
Seniority level:Senior, 2-5 years
Experience:2-5 years
Skills:
SQLAgileData AnalysisETLMicrosoft AzureMicrosoft Power BIData visualizationReporting
Requirements:
Bachelor’s Degree desired in Computer Science, Information Technology, or related field 2-5 years of experience with Microsoft Azure (Azure Databricks, Data Lake, Fabric, Azure Synapse, Azure OpenAI) Expert knowledge of Data Management, Business Intelligence and Analytics concepts (ETL, Data Warehousing, Data Lakes, Data Marts, Data Stores, Cubes, Data Quality, Data Governance, Master Data Management, Metadata Management, Data Visualization, Dashboards, Reporting, Self Service BI, KPIs, Scorecards, Predictive, Prescription, and Descriptive Analytics) Expert knowledge of Microsoft Business Intelligence stack (Power BI, Excel, SQL Server - SSAS, SSRS, SSIS) Experience with Azure Data Estate (SQL DB, Cosmos DB, SQL DW, Data Lake) is a plus Azure ML Studio/Services experience is a plus Advanced knowledge of SQL (stored procedures, triggers, analytic functions, tuning) is a plus Knowledge of relational and dimensional database structures is a plus Experience with Data Science tools (R, Python, algorithms) is a plus Ability to learn new concepts and software Familiarity with database-centric applications Ability to communicate effectively in technical and non-technical manner
Responsibilities:
Technical delivery in Agile and Waterfall methodologies Implement solutions using Microsoft Power BI Leverage advanced database systems Develop high performing, reliable and scalable solutions Communicate technical details to business and management Perform data analysis Author design documents Develop reports, dashboards and scorecards Design and develop solutions independently or in a team Assist business development with pre-sales activities and RFPs Provide feedback and coaching to team members Lead and demonstrate emerging technologies and concepts
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