Inizio Partners’ Post

Job title: Data Modeler Work Location with Zip code: Atlanta, GA 30309 (Onsite from Day 1) Duration of the project: 6-12+Months Detailed Job Description: 1. Looking for a data modeler not a data analyst, not a data architect, not a data engineer. 2. A person who can help to design a data model that can store data efficiently, suggest on normalization 3NF or 4NF. Recommend Hierarchical data model, if required. 3. Someone who has experiencing in building Transactional data model OLTP data model. Inmon data modelling .. UI specific data model where performance has to be key. 4. Someone who has built data model from scratch 5. Develop Logical, Physical data models and build tables, indexes, database objects 6. Understand existing data model, collaborate with client business technical teams to develop the target state data model. Share me the profile to rohit@tekishub.com #datamodeler #oltp #ui #warehouse #3nf #4nf

Top 5 ways of hiring the best Data engineering consultant #Dataengineeringconsultant https://lnkd.in/ggfNHyJ7 In this article we will explore different ways to hire the best data engineer consultant online.

Are you in search of an experienced and passionate data engineer to lead your data initiatives to success? Look no further! My expertise lies in building scalable data architectures and optimizing data workflows. Let's connect and discuss how we can chart a path to greatness together. #dataengineer #ETL #data #dataanalysis #DataExtraction #DataInnovation #DataAnalytics #TechJobs #Hiring #DataRevolution

If you are interviewing for a principal data engineer, make sure to follow these tips. 1 : Give a quick introduction about yourself - when there is a new member on the call, reintroduce yourself. 2 : Pay attention to how you speak - don't be shy, speak loudly, clearly and SLOWLY! when you are nervous, you speak fast. Go slow! it's ok! 3 : Be specific and have authority - talk with ownership, if you have made great impact in your previous roles or projects, talk about it and go into details, be specific, be confident! and communicate your technical expertise in the simplest words! 4 : Go beyond the technical - a principal data engineer has to collaborate with multiple teams, prioritise projects, be on architecture calls, unblock issues for other engineers, breakdown roadmaps into JIRA epics, task, tickets, optimise solutions for cost, scale, security, work with deployments, debug critical errors and more... speak about these items if you have done them in your past roles. 5 : Be human - It's ok if you don't know everything, you cannot know everything, if you pretend and talk nonsense, you will get caught, don't be afraid to say "i don't know"! #dataengineering #data #dataengineer

I saw a funny meme about saying something about "Say something that would trigger a developer." And it got me thinking... What would you say to trigger a data analyst, data scientist, data engineer, or data architect? I'll start: "This dashboard uses the average of averages to find the overall average." #data #dataanalyst #datascience #dataengineer #dataarchitect

Hey hiring managers: Data is data. I don't care what you think you've got unique as far as systems and data collectors- I can help you design a database schema that makes more sense than anything an AI can come up with to find the secrets YOUR data is hiding. I keep seeing these job postings for financial, medical, climate, process engineering or sales data; but from the point of view of the large database or large language model, these are all the same problem- how to clean, tokenize, sort, relate and visualize your data. And that is a data problem, not a domain specific corner case. And it's a solution we've been working on since the 1990s. So give us older guys a chance. We might just surprise you. https://lnkd.in/gU2WhGpN

One of the pain-points I heard from data leaders last year was that it can be hard to justify hiring a data engineer. Hiring a data scientist or analyst is generally easier to sell to the business because their work is immediately tangible. Many data scientists and analysts are also great at building SQL and notebooks workflows that can take data from Data Lakes and process it into a usable format. So why even hire data engineers? This is a question so many companies have run into. The truth is, companies can get away without data engineers for a little bit. But here’s what often happens. 1)Tech-debt starts to build 2) Lots of pipelines and data workflows get set-up for one-off requests 3) No one ever thinks about data governance 4) Even small changes risk breaking multiple critical flows 5) No one wants to own any of the above This has happened time and time again. It eventually comes to a head once the CEO is tired of dealing with conflicting numbers, slow dashboards and the constant "we can't change that, or something might break" responses. If you're that CEO or a data leader who needs to have that conversation with the CEO, then let's talk!

Data Engineers play an integral role in modern business operations. Discover why your company needs them and learn how to find an exceptional Data Engineer in our article below. #dataengineering #hiring #data #business

Top 5 ways of hiring the best Data engineering consultant #Dataengineeringconsultant https://lnkd.in/gbmF86DQ In this article we will explore different ways to hire the best data engineer consultant online.

Working in a consultancy as a data professional... would you do it? Most candidates I speak to seem to land in one of two camps Loving it or hating it. It's a great industry for a few reasons I think: - you finesse your client facing & stakeholder management skills - you get exposed to a lot of different tech - fast paced working environments - it can be very lucrative £££ But on the flipside: - some experience burnout - sense of unease if you're on the bench - not seeing products/solutions up and running after delivery Interested to hear people's thoughts! #data #engineering #architecture #databricks #fabric PS - make sure you vote today!!!!