Azure Data Engineer

Job Title: Data Engineer Location: Hybrid Work Model Reporting to Pensacola, FL Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract
Description

• Develop strategies for data acquisition, data pipelines, and database implementation.
• Responsible for designing, building, integrating data from various resources, and managing big data.
• Develop and write complex queries, while ensuring they are easily accessible, work smoothly, with the goal of optimizing the performance of big data ecosystem within CI/CD pipelines.
• Recognized as an expert with a specialized depth and/or breadth of expertise in discipline. Solves highly complex problems; takes a broad perspective to identify solutions. Leads functional projects. Works independently.

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:

• 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 requirements