Julian Vecchio’s Post

"Data is the oil of 21st century and analytics is the combustion engine" Peter Sondergaard Understanding data and Managing data is crucial and inevitable in modern computing scenario as they form the backbone of data-driven applications and systems across various industries. Join and follow Our Data Team to get hire as #dataengineer or #datascientist #job #hire #openings #data #datateam #ourdatateam

Are you considering a career in data engineering or looking to advance in this dynamic field? The landscape of data engineering is continually evolving, and staying ahead requires a keen understanding of the latest trends and essential skills. Let's dive into the top 4 crucial areas to focus on in 2025, based on the latest industry trends and insights from our tech community survey on LinkedIn... 𝗬𝗼𝘂𝗿 𝟮𝟬𝟮𝟱 𝗚𝘂𝗶𝗱𝗲 𝗳𝗼𝗿 𝗮 𝗙𝘂𝗹𝗳𝗶𝗹𝗹𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗖𝗮𝗿𝗲𝗲𝗿: 👉 https://lnkd.in/eJrAXDsE #dataengineer #dataengineering #dataanalyst #datajobs #techjobs #techcareer

The first #Analytics hire should be a bridge between the business and the data scientists. A design thinker who understands and communicates well with both. Knows how and when to leverage the right #Data resources. This is the most difficult aspect of analytics to outsource.

You should consider a career in data. You get to do all kinds of fun things like… . . . . . 📌 Investigate the differences between 20 different date fields with no documentation 📌 Deliver data solutions you spent weeks on…only to have them go unused 📌 Debug for hours on end without anything tangible to show for it 📌 And more! Sounds great, right? 😃 Okay I kid…but if anything here doesn’t sound like your cup of tea… …know that this is what a data career really looks like… It’s not all rainbows and sunshine. A data career isn’t just… 📌 Working in tech 📌 Working remotely 📌 Making good money 📌 Modeling the iris dataset 📌 Creating cool visualizations …like many are led to believe. Data is tough. ➡️ Make sure that you’re interested in or at least willing to handle the less glamorous aspects of working with data. Or you’ll burn out fast. 🧙♂️ Thoughts? --- Follow, connect, and share your perspective! 📚 Visit the link in my bio for more content and free resources! #data #analytics #dataanalytics #dataanalyst #datascience

Secure Top Data Talent Quickly – Get Relevant CVs & Close Data Roles Faster with AnalyticsHiring.com! #AnalyticsHiring #DataHiring #DataAnalyticsHiring #DataScience #DataScientist #ArtificialIntelligence #MachineLearning #AIJobs #MLJJobs #DataJobs

The first #Analytics hire should be a bridge between the business and the data scientists. A design thinker who understands and communicates well with both. Knows how and when to leverage the right #Data resources. This is the most difficult aspect of analytics to outsource.

Are you feeling a lack of creativity in your data engineering job? Do you feel like you don't have a say in the projects you work on, or how you tackle certain problems? Or maybe you are a data analyst who is fed up with low-quality data and wants to be on the frontlines ensuring bad quality data doesn't make it into production. If any of this sounds like you, have you considered analytics engineering? After 3 years of working as a data engineer, I realized I needed more interaction with the business and greater autonomy in how I was solving problems. Unfortunately, I couldn't get what I wanted from data engineering, so I switched to analytics engineering. Now I feel like I am directly involved in every business AND engineering decision, I have the power to solve data quality issues as I see fit, and I have the freedom to improve the data stack we are building. If analytics engineering sounds interesting to you, come check out my (free) talk where I walk you through how to transition to analytics engineering tomorrow at MDS Fest at 10am PST. #dataengineering #dataanalytics

Data Analyst vs. Data Engineer: Which role would you choose? 🔍📊 Are you drawn to uncovering insights or building the systems behind the scenes? Comment below which path speaks to you and why! 👇💡 #DataCareers #Analytics #Engineering #DataScience

CHANGE MY MIND…. Of the over 5,237 things wrong with the whole hiring process these days This one , if it’s not the worst, is in the top 5. Asking a candidate what they want to make BEFORE having an interview and understanding truly what it entails! You said data scientist Does that mean advance ML models, random forests and clustering projects? Because that starts at 250k Or does that mean data engineering, monitoring data pipelines and managing entitlements? That’s 150-190 Or are we talking data procurement, ingestion and wrangling. That a broad range but I’d say 125-165 **** this one truly is inspired from another post on my feed where the very first question was ‘ what do you want to make ‘ #data #excel #analytics #personaldevelopment

✅Are you passionate about data and seeking a rewarding career? ✅The Big Data landscape is brimming with opportunities! Here are the top 9 careers that are shaping the future of data-driven innovation: 👉👉Why Big Data? ✅Big Data is more than just a buzzword; it's a transformative force across industries. ✅These careers are not only in high demand but also offer the chance to work on the cutting edge of technology, making significant impacts in fields like healthcare, finance, marketing, and more. 👉👉Ready to dive in? ✅Whether you're a seasoned data professional or just starting, these roles offer diverse opportunities to grow, innovate, and lead in the dynamic world of Big Data. ✅𝐂𝐚𝐭𝐜𝐡 𝐮𝐩 𝐰𝐢𝐭𝐡 𝐚𝐥𝐥 𝐭𝐡𝐞 𝐓𝐞𝐜𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐢𝐨𝐧𝐬 𝐑𝐞𝐯𝐢𝐞𝐰𝐬, 𝐑𝐚𝐭𝐢𝐧𝐠𝐬 𝐚𝐧𝐝 𝐭𝐞𝐜𝐡 𝐉𝐨𝐛𝐬 𝐨𝐧𝐥𝐲 𝐚𝐭 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐉𝐨𝐛𝐬, 𝐭𝐡𝐞 𝐨𝐧𝐥𝐲 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲-𝐛𝐚𝐬𝐞𝐝 𝐜𝐨𝐮𝐫𝐬𝐞 𝐫𝐞𝐯𝐢𝐞𝐰𝐬 𝐚𝐧𝐝 𝐣𝐨𝐛𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦: https://analyticsjobs.in/ #BigData #DataScience #CareerOpportunities #TechCareers #DataAnalytics #MachineLearning #BusinessIntelligence #DataEngineering #CareerGrowth