Senior Data Engineer at Motorola Solutions

Job Description

• As a Senior Data Engineer at RapidDeploy, a Motorola Solutions Company, you will have the hands-on opportunity to work in tandem with experienced engineers to deliver high-quality and robust solutions in an Agile environment. In addition to the requirements below, successful candidates and team members will share a passion for high-quality software, strong engineering principles, and methodical problem-solving skills.

Key Responsibilities

• Work alongside a mixed technical team of data engineers and visualization specialists to build out our reporting and analytical product offering.
• Create, in collaboration with the team, the strategic direction of the BI and analytical function for the company to ensure optimal use of analytics and strategic decision-making
• Mentor Juniors and Interns
• Develop an appropriate model design to deliver on the strategy and client delivery.
• Design and plans for the integration of all data warehouse technical components.
• Review and participate in testing the data design, tool design, data extracts, networks, and hardware selections.
• Perform high-level design of the logical and physical architecture, logical and physical data model, and extract, transform, and load (ETL) processes.

Basic Requirements
Qualifications and Experience

• Resident in South Africa
• BSc in Computer Science or Engineering or similar qualification.
• 5+ years of experience in building database technologies with the Microsoft SQL stack, e.g., SSIS, SQL,
• SSAS, and SSRS, data warehouse technical architecture, infrastructure components, ETL, and analytical tools.
• 5+ years of experience using Microsoft technologies, e.g., PowerShell, MDX, DMX, and DAX.
• 5+ years of experience in data modeling.
• Experience in analytical thinking and problem-solving utilizing any of the following toolsets: Python, R-Script, Julia, MATLAB, or TensorFlow.
• Deep understanding of data warehouse principles and implementation.
• Quality experience with Cloud Servers/Azure, specifically.
• Experience with data visualization tools like Power BI, Tableau, Pyramid Analytics, Qlik, Domo
• Experience with applied statistics skills, such as distributions, statistical testing, and regression.
• Experience with deep learning techniques, mainly CNNs and RNNs (GANs and RL experience is a plus).
• Understanding of utilizing GIS and other location-based data analysis would be an advantage.
• Able to work effectively in a team environment.
• Excellent command of the English language – written and spoken.