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Looking for a high-paying tech job in 2023? Here are the top jobs that are expected to pay the most. You can also check out the top 10 list in detail in our short blog! 1. Data Scientist 2. Software Engineers 3. Cloud Architects Check out our blogs at https://lnkd.in/dSMnN7Kw #techjobs #tech #softwareengineer #datascientist #cloudarchitect #recognisedesigns

We now have more products, features…and employees. Today, we welcome 5 new team members Join us to give the warmest welcome to: 🎉 🎉 Drum rolls, please! 🥁🥁🥁 — Sunny kumar, Senior Data Engineer — Sumit K., Software Engineering Manager! — Akshath Dorai, Sr. Product Marketing Manager — Shiva Raisinghani, Sr. Machine Learning Engineer — Rebecca Ballew, Sr. Director, Associate General Counsel We’re happy to see the team grow. And… We are still hiring! 💛 If you want to work with us or know someone who’s looking for a job Go check out our open positions in the comments section! And please, help us give a warm welcome to our new members in the comments! #hiringnow

In the dynamic realm of data, Heads of Data play a crucial role in assembling robust teams that drive innovation forward. When it comes to hiring your next Data Engineer, keep these three pivotal tips in mind: 1. **Technical Expertise**: Beyond proficiency with programming languages such as Python or Java, look for in-depth experience with database management systems, ETL tools, and cloud platforms like AWS or Azure. Understanding of data modeling and warehousing is also indispensable. 2. **Problem-Solving Skills**: Data engineering isn't just about handling datasets—it's about solving complex problems. Candidates should demonstrate strong analytical thinking, with a track record of developing creative solutions to challenging data problems. 3. **Collaboration and Communication**: Effective data engineers often work at the intersection of multiple teams and stakeholders. They must be adept in articulating technical concepts to non-technical team members and collaborating across departments to understand and meet the company's data needs. Invest in those who can master the complexities of data while driving your organization towards a data-centric future. #DataEngineering #RecruitingInsights #TechTalent

Sigmoid is hiring for the roles below. If interested, please reach out to the hiring manager. Follow Thanks Buddy for more job updates from the hiring managers. NOTE - This job is shared by Thanks Buddy team so that it can reach to our entire community & maximum people can be benefitted from this. However, Thanks Buddy advises that all candidates should verify the job, company & all other details at their own discretion while proceeding further. #sql #datascientist #datavisualization #hiring #experience #job #dataanalytics #dataandanalytics #dataanalyst #datascience #datascientist #datasciencecareers #datascientists #python #sql #datavisualization #dataviz #analyst #opentowork #tableau #data #dataengineer #analytics #team #powerbi #analyticsjobs #analyticshiring #analytics #resume #opportunity #marketing #jobsl #jobs #ml #engineers #sharepoint #sharepoint #tech #cloud #project #security #automation #architecture #developer #engineer #java #compliance #azure #quality #ux #devops #salesforce #architect #database #writer #qa #ui #business #bigdata #aws #consulting #bank #technology #india #softwareengineer #insurance #freshers #datascience

6 of 10 #job #openings on 1/16 ✴️ Goldman Sachs ✴️ #software #engineer #checkitout and #share #opportunity #usa #usjobs #hiring #hiringnow #open #job #reshare #engineeringjobs #engineering #givingback #spreadtheword #connectandgrow #repost

#hiring Sr. Software Engineer, Data Foundation Platform, Atlanta, United States, fulltime #jobs #jobseekers #careers #Atlantajobs #Georgiajobs #ITCommunications Apply: https://lnkd.in/dtz2utkA Job Description Block's Data Foundations group builds and maintains a data platform that enables customers to publish, aggregate and orchestrate low-latency data at scale from across Block's distributed ecosystem. Our job is to make it easy for data producers to integrate data into the platform and for data consumers to use it once it's there. Our goal is to allow data users to spend less time on infrastructure so that they can spend more time delivering business value. Within that group, the Data Aggregation Platform team builds systems that aggregate data from all over the company together into shared data processing systems like Databricks and Block's Machine Learning Platform. To accomplish this goal, we're building a scalable streaming data ingestion system that enables publishers from all over the company to send their data into our systems, configure where it should go, and define transformations on top of it. At the same time, we're building infrastructure on top of Databricks to enable Machine Learning Engineers and Analysts to start working with batch and streaming data with minimal setup. We sit in a unique spot as a platform team since we are able to work with data scientists, engineers, and product managers from across the organization. We learn directly from our customers and build software that improves their productivity and impact. We're looking for engineers to help us continue building out Block's data platform. You will: Build tools and systems that make data scientists and machine learning engineers happier and more productive Build highly scalable, distributed, cloud-based streaming systems capable of handling the scale of all of Block's data Work closely with product, data science, and engineering teams throughout the organization to understand their needs and solve their problems Lead architectural and design discussions, ensuring our platform is performant, fault tolerant, and maintainable Mentor your teammates and assist engineers on other teams who integrate with our platform

⁉ If you're hiring a Data Scientist or ML Engineer, does it matter if you've never put a model into production? ⁉ No, not necessarily, this person could be your first hire, or you could still be figuring things out as a data team. Things that could be more important to Data Science candidates: ➡ Ability to articulate clearly the journey you're on ➡ The history of your data science team to date ➡ Lessons learned so far ➡ How their work is likely to impactful! #datascience #mlmodels #datascientists #ai #mlengineer

Facebook is hiring for Data Engineer. If interested, please reach out to the hiring manager. Follow Thanks Buddy for more job updates from the hiring managers. NOTE - This job is shared by Thanks Buddy team so that it can reach to our entire community & maximum people can be benefitted from this. However, Thanks Buddy advises that all candidates should verify the job, company & all other details at their own discretion while proceeding further. #sql #datascientist #datavisualization #hiring #experience #job #dataanalytics #dataandanalytics #dataanalyst #datascience #datascientist #datasciencecareers #datascientists #python #sql #datavisualization #dataviz #analyst #opentowork #tableau #data #dataengineer #analytics #team #powerbi #analyticsjobs #analyticshiring #analytics #resume #opportunity #marketing #jobsl #jobs #ml #engineers #sharepoint #sharepoint #tech #cloud #project #security #automation #architecture #developer #engineer #java #compliance #azure #quality #ux #devops #salesforce #architect #database #writer #qa #ui #business #bigdata #aws #consulting #bank #technology #india #softwareengineer #insurance #freshers #datascience

‼️ Amazon is Hiring for Data Engineers ‼️ 🙋🏻 Link to apply : https://lnkd.in/g9xtKgbk 📚👨🏻🎓 ** Learn these to become an outstanding Data Engineer ** 👷🏼♂️: 1. Actual spark architecture understanding ( not just Databricks, but what happens under the hood ) 2. DE with software engineering : DE is a lot like Software development. Testing, CI/CD etc must be a norm not an option. 3. Willingness to learn : it's important to highlight this quality. We look for people who are happy to discuss a problem even if they don't completely understand the tech behind it. 4. ⁠Fundamentals of data engineering: things like data validation, consistency, creating I idempotent pipelines. ** Check out my topmate profile for Data Engineering learning resources ** #hiring #data #dataEngineer

When your friend is super extroverted vs Me , hiring Data and ML professionals for the last x5 years , x3 years of that on a remote island and embracing introvert life. Together though can help you create a competitive advantage in hiring Data Science, Data Engineering and Machine Learning talent. DM if you would like to find out how. #datascience #machinelearning #dataengineering #hiring