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Based on general recruitment data: 38% of people quit within the first year at a job, and 40% of this group do so within 90 days. Could be more for data engineers. A statistic on the internet says 50% of data engineers stay only 2 years or less in organizations. Some might argue with these numbers. But what if they are true? So before you dive headfirst into hiring a data engineer, take a step back and ensure you've got your fundamentals in place. Here are three key questions to ponder: 1️⃣ What are your specific data needs and goals? Are you looking to optimize your existing data infrastructure, or do you need to build one from scratch? Define your objectives clearly to align your hiring strategy with your business goals. 2️⃣ What type of data infrastructure do you have or plan to create? Every organization's data infrastructure is unique, and your data engineer needs to be equipped to handle it. Make sure your potential candidates have the skills and experience to navigate your data ecosystem effectively. 3️⃣ What's your budget and expectations for this position's return on investment? Define your budget and expectations clearly to ensure you're making a strategic hire. Consider not only the immediate impact but also the long-term value that the right candidate can bring to your organization. By answering these questions thoughtfully, you'll be better equipped to find the data engineer who in it with you for the long haul and can drive your data initiatives forward. #hiring #techrecruiting #dataengineers #hiringmanagers

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