IT Engineer - Data Hybrid Vienna VA. Responsibilities: + Provide Data Intelligence and Data Warehousing (DW) solutions and support by leveraging project standards and leading data platforms + Build and maintain Azure data pipelines using DevSecOps process + Define and build data integration processes to be used across the organization + Build conceptual and logical data models for stakeholders and management + Work directly with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drives business objectives + Prepare advanced project implementation plans which highlight major milestones and deliverables, leveraging standard methods and work planning tools + Document existing and new processes to develop and maintain technical and non-technical reference materials. + Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategies + Coach and mentor project team members in carrying out analytics project implementation activities + Communicate and own the process of manipulating and merging large datasets + Perform other duties as assigned Qualifications and Education Requirements: + Master's degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience + Expert skill in Azure Data Factory, Databricks + Advanced skill in Azure SQL, Azure Data Lake, and Azure App Service, Python, T-SQL + Experienced in sourcing, maintaining, and updating data in On-Prem and Cloud environments + Knowledge of and the ability to perform basic statistical analysis + Thorough understanding of SQL + Experienced in the use of ETL tools and techniques + Experience Designing and building of data pipelines using API ingestion and Streaming ingestion methods. + Ability to understand the business problem and determine what aspects of it require optimization; articulate those aspects in a clear and concise manner + Ability to understand other projects or functional areas in order to consolidate analytical needs and processes + Demonstrates change management and/or excellent communication skills + Understands data warehousing, data cleaning, data pipelines and other analytical techniques required for data usage + Demonstrates deep understanding of multiple data related concepts + Understands the concepts and application of data mapping and building requirements + Understands data models, large datasets, business/technical requirements, BI tools, data warehousing, statistical programming languages and libraries + Experience using GIT & Source Control + Skilled in managing the process between updating and maintaining data source systems and implementing data related requirement