Hidani Tech

🚀 ABCs of Data Engineering: P is for Preparation! Alright, let's talk about preparing for Data Engineering interviews in 2024. Here are some tips and tricks to help you ace them, sprinkled with a bit of my own experience! ▶ Study Core Concepts: Remember the basics— data modeling, ETL processes, and database design. Think of these as your bread and butter. When I first started, I spent hours brushing up on these fundamentals, and it paid off big time. ▶ Practice Coding: Get comfortable with Python and SQL. I spent countless nights on LeetCode, and trust me, it makes a difference. It’s like going to the gym for your brain. ▶ Understand System Design: Be ready to design scalable data architectures. My first system design interview was a wake-up call—there's more to it than just knowing the tools. Explore data warehousing, distributed systems, and data pipelines. ▶ Hands-On Experience: Work on real-world projects. These are super important and a great way to show your data engineering skills. ▶ Mock Interviews: These are a game-changer. My first mock interview was a disaster, but it was a safe place to fail and learn. Practice makes perfect, so simulate the real deal as much as you can. ▶ Stay Updated: Follow the latest trends in data engineering. I can’t tell you how many times a new tech or trend popped up in interviews. Blogs, webinars, and community forums are your friends here. ▶ Prepare for All Rounds: Make sure you’re ready for every stage of the interview process. Each round can be different, so preparation is key. For more details on each round, check out this amazing newsletter by Zach Wilson. It's a lifesaver: How to Pass Data Engineer Interviews. [https://lnkd.in/eCg8MDJ6] ▶ Network, Network, Network: Don’t underestimate the power of networking. Building connections can open doors to opportunities you might not find elsewhere. Attend industry events, join relevant groups, and don’t be shy about reaching out to people in your field. Preparation is all about making strategic moves and leveraging available resources to stand out. Let's gear up and make 2024 our year! #DataEngineering #DataJobs #DataScience #DataAnalytics #ETL #DatabaseDesign #SystemDesign #PythonProgramming #SQL #TechInterviews #InterviewTips #CareerAdvice #TechTrends #DataWarehousing #DistributedSystems #DataPipelines #MockInterviews #Networking #CareerDevelopment #LinkedInTips #JobSearchTips #ProfessionalDevelopment #TechCommunity

8 Analytics roles to apply and reach out to this week! Note I am not the recruiter for these roles, just spreading the word. 🏖️ Krystal R. is hiring for Walmart, Senior Analyst: https://lnkd.in/gUhhGYXK 🏖️ Julie Ralston, MPA, CCP, SPHR is hiring for TriMet, Senior Data Analyst: https://lnkd.in/gTj5UG-V 🏖️ Zachary T. is hiring for Amazon, Business Analyst: https://lnkd.in/gznf8rBB 🏖️ Paul Matthews is hiring for First Citizens Bank, Business Systems Analyst: https://lnkd.in/gBzWmZHS 🏖️ Paige Grons is hiring for Federal Home Loan Bank of Chicago, Sr. Business Analyst: https://lnkd.in/gSGkyGYg 🏖️ Katie Moore is hiring for STR, Business Analyst: https://lnkd.in/gGe2KZ7j 🏖️ Maxwell Groves is hiring for Wonder, Consumer Product Analytics: https://lnkd.in/ghZpAEVK 🏖️ Geoffrey Gaudoin is hiring for ADP, Deal Desk Analyst: https://lnkd.in/ga7wASBg - - - - - - - - - - - - - - - - - - - - - - - - - ♻️ Repost to help analytics job seekers in your network ➕ Hit the follow button for more jobs ✍️ Comment any analytics roles you’re hiring for below #AnalyticsJobs #DataAnalytics #BusinessAnalyst #DataJobs #JobSearch #CareerOpportunity #HiringNow #JobOpening #CareerChange #SeniorAnalyst #BusinessSystemsAnalyst #DataScience #JobPosting #JobOpportunity #LinkedInJobs #NowHiring #CareerDevelopment #JobSeekers #JobHunt

Current trends in the USA for data science, data engineer, and data analyst jobs: Overall Job Market: High Demand and Growth: The U.S. Bureau of Labor Statistics predicts significant growth across these fields. Data scientist roles are expected to surge by 35% by 2032, while data analysts and statisticians are also projected for strong growth. Data-Driven Decisions: Businesses increasingly rely on data to inform choices, driving the need for professionals who can extract insights and translate them into actionable strategies. Specific Trends: Data Science: Focus on AI and Machine Learning: Expertise in these areas is becoming crucial for data scientists, with employers seeking professionals who can develop and implement these powerful tools. Industry Versatility: Data science is applicable across various sectors, from healthcare and finance to retail and technology, offering diverse career paths. Data Engineer: Building Scalable Infrastructure: As data volumes keep growing, engineers are needed to design and maintain robust data pipelines and storage solutions. Data Quality Management: Ensuring data accuracy and integrity is paramount, requiring engineers with strong data quality control skills. Data Analyst: Evolving Skillset: Data analysts are increasingly expected to have some AI and machine learning fluency to navigate complex data environments. Strong Communication: Translating complex findings into clear and concise communication for non-technical audiences remains a valuable asset. If you're interested in these fields, here are some resources to learn more: -> U.S. Bureau of Labor Statistics: Explore occupational outlooks for data scientists, statisticians, and market research analysts https://lnkd.in/gqndMxWw -> Articles on Data Science Trends: Stay updated on the latest trends in data science, data engineering, and data analyst roles https://lnkd.in/gfKwHV9 #datascience #dataengineering #dataanalyst #datadriven #careers #USAtrends

Master Your Job Hunt: Overcoming Challenges and Live Demo of Cracking the ATS 🚀 Attention Recent Graduates and Job Seekers!🚀 Are you struggling with: 1. Career gaps? 🕳️ 2. Visa issues? 🛂 3. Sponsorship difficulties? 📝 4. Resumes not getting picked up? 📄 5. Too many consultancy calls? 📞 6. Recruiters ghosting you? 👻 7. Not knowing what's going wrong in your job hunt? 🤔 8. Lack of time to apply for jobs? ⏳ 9. Uncertainty about job applications and finding direct client roles? 🔍 10. Cracking the final round of interviews? 🎯 11. Behavioral, problem-solving, or situational questions? 🤯 BOOK A ONE ON ONE COUNSELLING SESSION WITH OUR EXPERTS ON BELOW MAIL I'D raj.parmar@hidanitech.com -> Kindly attach your resume with the mail -> Kindly share your timings over the next two weeks out team will confirms your slots accordingly What you’ll learn: ✔️ Step-by-step guidance on the job hunt and recruitment cycle📋 ✔️ AI tools and extensions for networking and enhancing your job search🤖 ✔️ Useful interview tips and tricks to help you crack interviews🗝️ ✔️ Preparing yourself for interviews: environment, mindset, and a well-planned framework 🧘♂️ ✔️ Script writing techniques to ace your interviews✍️ ✔️ Proven techniques for handling final round, behavioral, problem-solving, and situational questions 🧩 ✔️ ATS-cracking systems used by recruiters to get you a good number of interviews 📊 ✔️ Live demo of ATS-cracking techniques to boost your resume visibility🎥 ✔️ Free resources and tools for interview practice and networking 🛠️ #DataScientistJobs #DataEngineerJobs #MLEngineerJobs #DevOpsJobs #DataAnalystJobs #JobSearchUSA #JobHunt2024 #TechJobsUSA #NewGradJobs #JobSeekersUSA #JobOpportunity #JobSearchTips #InterviewTips #ATSResumeTips #CareerAdvice #DataScienceJobs #DataEngineeringJobs #MachineLearningJobs #DevOpsEngineerJobs #AnalyticsJobs #TechCareers #JobOpening #JobSearchAdvice #GraduateJobs #CareerDevelopment #ResumeTips #InterviewSkills #TechRecruitment #JobSearchStrategy #RemoteJobs

How Generative AI is Transforming Recruitment in the US?🤖 With AI being a part of our daily lives, is playing a crucial role in the US recruitment process. A McKinsey report predicted that generative AI can boost US labor productivity by 0.5 to 0.9 percent annually by 2030. Amidst this shift, let's see how this advanced technology is transforming recruitment in the US. ➡️ By Automating the Processes: Generative AI can easily analyze resumes based on predefined criteria, reducing the time spent on initial candidate screening and allowing recruiters to focus on other tasks. ➡️ Personalized Candidate Outreach: AI tools can draft personalized emails and messages to candidates, improving engagement rates and making communication more efficient. ➡️ Better Interview Coordination: Software like interview scheduling software automates interview scheduling, handles back-and-forth communication, and coordinates times, streamlining the process for recruiters and candidates. ➡️ Chatbots for Candidate Interaction: AI chatbots are great as they can answer candidates' queries in real time, provide information about the application process, job details, and company culture, and improve the candidate experience. ➡️ Data-Driven Analytics: AI provides recruiters with detailed analytics and insights on hiring trends, candidate behavior, and the effectiveness of recruitment strategies. ➡️ Predictive Analytics for Talent Acquisition: AI can predict future hiring needs and trends, helping organizations proactively plan their talent acquisition strategies. All of this promotes a structured and smooth recruitment process for US companies. As the US job market is going through a significant shift, leveraging generative AI can prove to be a boon for companies looking to scale up. #AIRecruitment #GenerativeAI #HRtech #FutureOfWork #RecruitmentInnovation #AIinHR #TransformingRecruitment #TechTrends