We're #hiring a new Data Engineer in Dallas, Texas. Apply today or share this post with your network.
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I'm hiring Data Engineers, Cloud Infrastructure Engineers, and a Data Architect! Work From Home (#WFH) is allowed for all these positions as long as you're full time during US business hours. If interested, please do these two things so I can find you: 1. Follow me here on LinkedIn 2. Leave a comment below and use a hashtag for the position(s) you're interested in, such as #DataEngineer We live by our core value of We Take Care of Our Own here, and as the world's leading live entertainment company, Live Nation is an incredible place to work! (You can unfollow me later if you want, this just helps me filter who's interested.) (If you don't want people to see your comment, just send me a message with which position you're interested in, and I should still be able to find you as long as you've also followed me.) #hiring #data #engineering
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#hiring DATA SCIENTIST, Tampa, United States, fulltime #jobs #jobseekers #careers #Tampajobs #Floridajobs #ITCommunications Apply: https://lnkd.in/dNwPYTv5 Supports a program located in Tampa, FL by leveraging technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights that can provide a competitive advantage or address a pressing business problem. Uses expertise in computer science, software development, and the latest technologies to analyze and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations. Leverages knowledge of mathematical and statistical concepts, computer science, or domain expertise to bridge the gap between technologists and mathematicians, ensuring software solutions meet analytic requirements. Must be able to both manage and manipulate large data sets, develop data science approaches, and manage data science tasks.Responsibilities:Collaborate with cross-functional teams to understand business requirements and data needs.Clean, preprocess, and analyze large datasets to extract meaningful patterns and insights.Utilize advanced statistical techniques and machine learning algorithms to build predictive models.Develop and implement data-driven solutions to address specific business challenges.Create data visualizations and reports to effectively communicate findings to stakeholders.Explore and implement natural language processing
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Once is an accident, twice is a coincidence, and three times is a pattern. Last 4 weeks: 1. "We're looking for a mid-level data engineer. Do you know anyone that's looking?" 2. "We're thinking of adding the first data engineer to the team. Can you help with the profile and recommend anyone?" 3. "I've been at this place for a few months but would prefer something else. Know anyone who's looking for a new data engineer?" I haven't been able to help anyone find a new job yet, but if this keeps happening, I might. So, if you're looking, let me know. PS. I did help the second company - we went through the problem space and figured out a better architecture. It also didn't require hiring.
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One of the pain-points I heard from data leaders last year was that it can be hard to justify hiring a data engineer. Hiring a data scientist or analyst is generally easier to sell to the business because their work is immediately tangible. Many data scientists and analysts are also great at building SQL and notebooks workflows that can take data from Data Lakes and process it into a usable format. So why even hire data engineers? This is a question so many companies have run into. The truth is, companies can get away without data engineers for a little bit. But here’s what often happens. 1)Tech-debt starts to build 2) Lots of pipelines and data workflows get set-up for one-off requests 3) No one ever thinks about data governance 4) Even small changes risk breaking multiple critical flows 5) No one wants to own any of the above This has happened time and time again. It eventually comes to a head once the CEO is tired of dealing with conflicting numbers, slow dashboards and the constant "we can't change that, or something might break" responses. If you're that CEO or a data leader who needs to have that conversation with the CEO, then let's talk!
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Coming in hot!🔥Data engineers, that is. Check out just some of the many top-tier companies hiring data engineers. https://lnkd.in/eg7S-Amd #techcareer #dataengineering
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Head of Data Science | Published Author | AI Applications Engineer | Microsoft Alumni | Japanese Speaker
If you hire a data scientist before you've hired a data engineer, congratulations, you've just hired an entry-level data engineer!* *Unless they've had the same thing happen to them multiple times, in which case, congratulations, you've hired a seasoned data engineer. #datascience #dataengineering
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Founder and CEO @ Xantage | Digital Transformation Leader | Bridging Technology and Strategy to Drive Innovative Business Solutions | Driving Sales Growth with Competitive Enablement-as-a-Service
This post made me smile this morning! Most business leaders understand sales and marketing, since they usually have that background. With everything becoming “data-driven” a resource grab for data talent is ongoing. However, most business leaders have no idea how nuanced the data field actually is and “data scientist” is the sexiest title most people think of. (Well maybe not this week, AI engineer is taking the stage….which is still data dependent, btw). Hence, the painfully truthful post below. If you have data that is not where it needs to be or the shape it needs to be in, you need to start with data engineers. When the data starts to flow and has meaning, then a data scientist can work their magic. Foundation first, data application second, insights later. #digitaltransformation #datastrategy #dataengineering #digitalbusiness
Head of Data Science | Published Author | AI Applications Engineer | Microsoft Alumni | Japanese Speaker
If you hire a data scientist before you've hired a data engineer, congratulations, you've just hired an entry-level data engineer!* *Unless they've had the same thing happen to them multiple times, in which case, congratulations, you've hired a seasoned data engineer. #datascience #dataengineering
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