HW Select Ltd’s Post

Data Scientist: Please share your expectations for the position, project, or process deliverable. 2023 Business Environment: Turn your sound up and listen below. Takeaway: Set clear expectations before posting open requisitions (I.E. the company that wants 8 top tier machine learning publications as a minimum requirement), project deliverables (Provision access to necessary data mediums and computing resources), and map processes back to system of records (Do not create a process that runs in isolation for no reason and performs zero quality or control checks).

𝘄𝗵𝗼 𝗶𝘀 𝗮 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿? 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲𝗶𝗿 𝗱𝗮𝗶𝗹𝘆 𝗱𝘂𝘁𝗶𝗲𝘀, 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝘀𝗸𝗶𝗹𝗹𝘀 𝗱𝗼 𝘁𝗵𝗲𝘆 𝗻𝗲𝗲𝗱? 𝗜 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘁𝗵𝗲 𝗿𝗼𝗹𝗲 𝗼𝗳 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝗮𝗻𝗱 𝘀𝗵𝗮𝗿𝗲 𝗮 𝘀𝘁𝗲𝗽-𝗯𝘆-𝘀𝘁𝗲𝗽 𝗴𝘂𝗶𝗱𝗲 𝗼𝗻 𝗵𝗼𝘄 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗼𝗻𝗲 in the post for next few days. stay Tuned! Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. In other words, job security is guaranteed. But, with such great power comes great responsibility. The journey to becoming a successful data engineer features tricky terrain that you need to navigate and get right from the start. In this short and to-the-point, I’ll walk you through the entire process of becoming a data engineer, helping you dodge the common pitfalls. See you evening in next post!

📈 Vacancy Tracker (UK) 📉 Significant rises in job openings for technical roles for the period of 27th May - 26th June (LinkedIn). 🔺Machine Learning Engineer - 666 ➡ 961 🔺Data Scientist - 760 ➡ 912 🔺Data Engineer - 2,122 ➡ 2,389 Slight decline in the senior-level vacancies which is pretty indicative of what we're seeing of companies prioritising hiring in roles that directly contribute to immediate revenue generation or cost efficiency over expanding high-cost executive roles. 🔻 CTO - 264 ➡ 216 🔻Head of Data Science - 39 ➡ 26 📞 Let’s talk market trends #VacancyTracker

Great video on becoming a data engineer from a data analyst. This reflects my journey so far as I’m starting on my path to become a data engineer.

📢 Calling all Data Engineers! 🚀 Are you gearing up for your next job interview in the exciting world of data engineering? 🎯 To help you prepare, I've compiled a list of scenario-based questions along with hints to guide you in formulating your answers. These questions will challenge your technical skills, problem-solving abilities, and decision-making prowess. 💡 1️⃣ Scenario: You are tasked with designing a data pipeline to process large-scale data from various sources. Hint: Consider using distributed processing frameworks like Apache Spark, and ensure fault tolerance with data replication or checkpointing mechanisms. 2️⃣ Scenario: Your team is experiencing performance issues in a real-time data processing system. Hint: Start by monitoring system metrics and profiling code to identify performance bottlenecks. Think about optimizing data structures and leveraging caching strategies. 3️⃣ Scenario: You're handling sensitive data and need to implement robust security measures. Hint: Apply encryption for data at rest and in transit. Consider using access controls, authentication mechanisms, and auditing to safeguard data. 4️⃣ Scenario: Your company plans to migrate its data infrastructure to the cloud. Hint: Develop a comprehensive migration plan, perform data validation during the migration, and consider using cloud-native data storage services. 5️⃣ Scenario: An unexpected data outage has occurred. Hint: Start by checking system logs and error messages to identify the root cause. Have a disaster recovery plan in place, and consider redundancy and backup solutions. These scenarios aim to assess your technical expertise, teamwork, and ability to handle real-world challenges in data engineering. Remember, it's not just about finding the "right" answer, but showcasing your problem-solving approach and thought process. 🧠 Feel free to share your thoughts or other scenario-based questions you've encountered in your data engineering journey! Let's learn and grow together in this fascinating field. 📚🤝 #DataEngineering #InterviewPrep #ScenarioBasedQuestions #TechJobs

💡Career Spotlight: Data Engineer In today's data-driven world, the role of a data engineer is of utmost importance. These professionals are in high demand for their pivotal role in creating and maintaining data pipelines that empower businesses to make informed decisions by building and maintaining data pipelines that make data accessible and usable. What do data engineers do? Data engineers design, build, and maintain data pipelines. Data pipelines are the systems that collect, store, process, and deliver data to users. Data engineers also work with data scientists and business analysts to help them understand and use data to solve business problems. This article delves into the role of data engineers, outlining their core responsibilities, the essential tools and skills required for success, and offers invaluable advice for those aspiring to begin a career in data engineering. Whether you're a student, a recent graduate, or a professional considering a career transition, this article is a valuable resource to explore the world of data engineering. Read more here: https://lnkd.in/gPCbCjYT

Sometimes it's immediately apparent that the person writing the job description is not familiar with all the technical terms, or maybe they are looking for 1 individual to fill 3 positions. It becomes particularly amusing when in the same job description, there are three consecutive paragraphs, each detailing a completely different area of expertise. 🔶 Data scientists🔶 analyse and interpret complex data to create actionable insights, utilising statistical analysis, machine learning, and predictive modeling to inform business decisions built on top of systems that are designed and maintained by 🔴 Data Engineers 🔴 🔴 Data engineers 🔴 specialise in preparing and managing the architecture that 🔶 data scientists 🔶 use for analysis, focusing on coding, data collection, storage, and data pipeline optimisation. 🔷 Software developers 🔷 design and build software applications and systems, writing code to create programs that meet user needs and software specifications. They are involved in the entire development life cycle, from concept and design to testing and maintenance. Have you seen or received any job postings like this?

Hi, Hope you are doing well,   Job Title: Data Engineer/ Data Analyst Location:- Charlotte, NC hybrid Duration: long term Only USC/GC Interview: VIRTUAL E: [email protected] Need Education and LinkedIn and Full name Contact number Email In resume Address with zip code Primary SkillsData Analysis, Python, SQL   Requirement:   Sr. Data Analyst/ Data Engineer- very analytical Make recommendations based on the data and information sourced Ability to navigate through data discrepancies  Understands next steps in the data process, data reconciliation, is the data in a good state, etc.  Must be conceptual/ Analytical thinking with no hand holding.  Must understand what it takes to automate data and how to manage data quality.  Ability to ask questions about the data and present findings.  Data Analyst/ data Engineer type since they will be involved in some coding using python and SQLas well as some exploratory analysis.