Data Warehousing and Mining Subject Matter Expert (SME)

About NDi:

Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply.

Job Description:

NDi is seeking for an experienced Data Warehousing and Mining Subject Matter Expert (SME) to join our team. This role is critical to the design, construction, testing, and maintenance of a robust architecture that supports the reliability and quality of data to meet the business's data needs. You will be responsible for developing, managing, and optimizing data processes related to data modeling, mining, and production. Additionally, you will employ a variety of tools and technologies to prepare data for use in advanced predictive and prescriptive modeling, ensuring the integrity and accessibility of data for business decision-making.

Requirements:

• U.S. Citizenship is required.
• This role is onsite (5days onsite / week)
• Candidate must be able to obtain Public Trust clearance.

Qualifications and Experience:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or related field
• A minimum of 10 years of hands-on experience in data warehousing, data mining, and data modeling
• Proven experience with designing, building, and maintaining complex data architectures.
• Deep knowledge of data mining algorithms, statistical analysis, and advanced analytics.
• Experience working with large, diverse datasets and implementing data preparation processes for predictive and prescriptive modeling.
• Strong proficiency in SQL and ETL processes, data modeling, and database management.
• Expertise with data mining tools and platforms such as Python, R, SAS, or similar technologies.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud data platforms (e.g., AWS, Google BigQuery, Snowflake).
• Familiarity with BI tools (e.g., Tableau, Power BI) and data visualization concepts.
• Knowledge of data governance practices and tools.
• Strong analytical and problem-solving skills with the ability to work with complex data sets and draw meaningful insights.
• Ability to develop and implement strategies for data quality assurance and testing.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Experience working in a cross-functional team environment and ability to collaborate with business stakeholders to meet data requirements.

Responsibilities:

Data Architecture Design & Maintenance:

• Design and build scalable and efficient data warehousing and mining architectures to support business requirements for data quality, integrity, and accessibility.
• Maintain and optimize data architectures to ensure high availability, reliability, and performance of all data systems.

Data Modeling & Mining:

• Develop and implement data modeling strategies to transform raw data into useful, actionable insights.
• Ensure that the architecture and processes can handle diverse and large datasets required for predictive and prescriptive modeling.

Data Preparation for Advanced Modeling:

• Prepare and transform data for use in advanced analytical processes such as predictive and prescriptive modeling, using a variety of tools (e.g., Python, R, SQL).
• Leverage data wrangling, transformation, and cleansing techniques to ensure datasets are ready for complex analysis.

Testing and Quality Assurance:

• Develop and execute comprehensive testing plans for data processes to ensure the highest level of accuracy, consistency, and integrity.
• Ensure that data pipelines are automated and scalable, and that data is validated for quality before being used in analysis.

Collaboration & Cross-Functional Support:

• Work closely with data engineers, data scientists, business analysts, and other stakeholders to ensure the data infrastructure supports the organization's strategic goals.
• Act as the subject matter expert to guide and support teams in leveraging data architectures and tools effectively.

Tool Utilization and Automation:

• Utilize advanced tools and technologies to streamline data extraction, transformation, and loading (ETL) processes.
• Implement automation strategies for data preparation and workflow processes to improve efficiency and reduce manual efforts.

Documentation & Knowledge Sharing:

• Develop and maintain clear documentation for data modeling, mining, and processes to ensure consistency, reproducibility, and knowledge sharing.
• Lead training sessions for internal teams to increase their understanding of data architecture and modeling best practices.

Data Governance & Compliance:

• Adhere to and implement data governance standards to ensure data privacy, security, and compliance with relevant regulations.
• Enforce best practices for data handling, storage, and processing across the organization.

Compensation and Benefits:

At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job.

Veterans First Commitment:

As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization.

Commitment to Diversity:

NDi is an Equal Opportunity Employer. We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran or military status, citizenship, national origin, or any other basis prohibited by law in all phases of the employment process and compliance with applicable federal, state, and local laws and regulations. As a federal government contractor, NDi complies with all applicable affirmative action requirements.

Apply Now: Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!