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Content Data Analytics Engineer Stomble Sydney, New South Wales, Australia (Remote) in Easy Apply Save The successful applicant should have knowledge of: Creating databases Data Visualizations Understanding of where to apply Machine Learning algorithms such as Linear Regression, Multiple Regression, K means clustering etc Recommendation Systems (Preferred) Web APIs. (Preferred) Technologies required: Python SQL and NoSQL databases (DynamoDB Prefered) Web development knowledge. HTML, CSS andJAVASCRIPT. (Preferred) Knowledge of AWS is Preferred. Knowledge of Analytics tools like Tableau, AWS QuickSight Version Control (Git). Required Education: Currently completing master's or bachelor's in computer scienceIT Data Scienceengineering. The responsibilities and attributes are: - Eager to solve challenging problems. - Has done prior freelance work. - Willingness to work as part of a cross-functional team environment. - You thrive on innovation and experimentation. - You can work and deliver work on deadlines. - Getting your hands dirty in real-world tasks and problems. Do not apply if: Can not work unpaid.

Content HOW MUCH LONGER WILL THE COMPILING CODE TAKE? INDON'T KNOW 3 OR 4 3 OR 4 WHAT ? SECONDS. MINUTES, HOURS? MAYBE 5 5 WHAT?

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The moment someone claims their regex handles "all edge cases perfectly" is when experienced developers reach for the doubt button faster than they reach for coffee on Monday morning. That innocent little pattern is probably hiding six different ways to break your production server when someone inputs an emoji, a null byte, or—heaven forbid—actual human language with accents. The confidence of regex authors is inversely proportional to the number of Stack Overflow tabs they'll need open tomorrow.