Greetings!

Our client Navy Federal Credit Union is the world's largest credit union with over 10 million members, over $149 billion in assets, and over 23,000 employees.

Our client is seeking an IT Engineer - Data-15507-Hybrid. You seem to have a rock-solid profile and your overall background seems to be a great match for the position.

Please review the below information for clarity on the position description.

Basic Purpose :

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 Navy Federal's 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.

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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