Data Visualization Specialist

Data Visualization Specialist for HRM INFO LLC's End Client Anywhere in US - Remote Only. Skills: Data Engineering or Data Management experience., Qlik, AWS environment (AWS certifications preferred), UI Design and End User Engagement Security Clearance: TS (T5 investigation closed in past 2 years) or CBP cleared. Note: This position is entirely remote, but candidates should reside within a reasonable driving distance to Fort Meade, MD (near Washington, D.C.). Priority would still be full scope software engineers or data engineers willing to work on-site full-time in Fort Meade or DC area) Job Summary Heavy in UI design and end user engagement initially - so less coding up front, though that will come. Given that, might have more success with titles focused on "design" or "architect" vs software engineers. Requirements: - 5+ years of Data Engineering or Data Management experience. - Strong SQL skills, and ability to identify issues with data. - Experience with Qlik - Experience with PowerBI tools - Understanding of database and database design - Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data. - Demonstrated experience within an AWS environment (AWS certifications preferred) - Familiarity with industry best-practices for software-hardware optimization when processing large sets of data. - Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics is preferred. Must Have - Only TS (T5 investigation closed in past 2 years) or CBP cleared Candidates will qualify for this role. - Data Engineering or Data Management Experience (5+ years): Significant experience in the field of Data Engineering or Data Management, showcasing a strong foundation in handling and processing data. - Strong SQL Skills - Hands-on experience with Qlik and PowerBI tools, showcasing the ability to utilize these tools for data visualization, analysis, and decision-making purposes. - Demonstrated experience in cleaning, managing, and optimizing data for performance, particularly handling large volumes of data efficiently. - AWS Environment Experience - Heavy Experience in UI Design and User Engagement Nice to Have - Experience with machine learning, statistical modeling, time-series forecasting, or geospatial analytics would be advantageous. Originally posted on Himalayas