**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