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Top Data Warehouse Developers with UpStack

Sergio
Sergio V.

Sergio is a sophisticated Software Engineer with 15+ years of professional expertise in the iteration of top-notch software solutions using different technologies and architecture on projects for clients. He brings on board a great work ethic and commitment to the delivery of innovative solutions that are highly performant and productive; using industry best practices.

Steven
Steven B.

Qualified Data Scientist with expertise in developing and deploying full analysis pipelines for machine learning and data mining projects on large datasets. I have hands-on experience in translating models into business insights, applying data knowledge to real-world business problems. I use various technology stacks to deliver solutions to complex projects utilizing a practical focus and collaborating in cross-functional teams.

Alessandro
Alessandro G.

Alessandro is a versatile all-around DevOps Engineer with over a decade of industry exposure working in different roles — from IT support, to software design and development, to training and data management. He has principal technical skills in database administration and cloud computing; providing operations and project support for various group database technologies using industry-leading certifications in Oracle Database and Amazon Web Services.

Dmitry
Dmitry Y.

Dmitry is a seasoned Solutions Architect/Delivery Manager with 15+ years of industry experience in the delivery of high-quality Data Warehousing, Cloud Analytics and Strategy Consulting solutions that enable business in the Financial Services, Telecom, Gaming, Insurance, and Healthcare sectors to become data-driven; leveraging on the best technology stack and engineering practices for implementation.

Nelson
Nelson P.

Well-versed Data/Cloud Engineer, Business Intelligence & Data Scientist Consultant with 10+ years of experience building data-intensive applications, with extensive hands-on knowledge across multiple industries (real estate, oil, Insurance Brokers, etc). I strive to make an impact by creating scalable data platforms and transforming big data into valuable insights using data science and analytics. My primary interests include distributed systems, large-scale structured storage & query optimization, and data exploration and prediction with ML/AI.

Dhyey
Dhyey S.

Dedicated Data Engineer with proven proficiency in Java 8 and Python, as well as expertise in NumPy, SciPy, Scikit-Learn, Pandas, Matplotlib, Jinja2, Selenium. Versed in programming, data computing, research design, and data analysis, implementing action-oriented solutions to business problems. Experienced with Big Data Modelling, Computer Vision, Integration, and Analysis, including the Hadoop ecosystem and Spark. Dealt successfully with high-impact situations at Amazon and worked extensively with various AWS products such as Amplify, Sagemaker, DynamoDB, S3, EMR, Data Pipeline, Lex, Lambda. Extremely engaged in Artificial Intelligence, with a significant portion of university and work projects being in this area.

Can
Can D.

Driven Software Engineer, with 7+ experience in working with BI/Data Warehouse/ELT alongside other technologies, in automotive, retail and e-commerce companies. Having had both technical and non-technical roles, I have a clear understanding of the client's point of view, which was an important advantage in building a BI project from scratch and managing 4TB data increasing at the rate of 40GB/day.

Diego
Diego N.

Skilled Data Engineer focused on using data science and data engineering to help companies leverage data in favour of their product/business. Demonstrated proficiency in deriving valuable insights from data to solve business problems. I have a strong engineering background and significant experience as a backend, front-end, and full-stack developer allowing me to autonomously build solutions end-to-end. Highly proactive, I have a keen interest in opportunities focused on data science and machine learning.

Alex
Alex K.

Seasoned Data Engineer with 12+ years of experience working in various data engineering roles for companies that rely on a strong technology core, where the collection, management, and analysis of data play a key factor in their business model. Strong proficiency in Data Warehouse Architecture, Data integration / ETL&ELT development, Data back-end development, BI Reporting, Project Management, leadership in Agile SCRUM environments, Process tuning and optimization. Hands-on experience working on big data engineering in remote enviroments for global companies.

Gabriel
Gabriel D.

I am a Senior Business Intelligence Architect with 10+ years of deep expertise in data warehousing methodologies, dimensional modelling, ETL, reporting solutions, testing and delivery. I build critical data and analytics processes on projects for clients; creating governance methods and providing best practice guidance to maximize the value of solutions that deliver business insights and support data-driven decision making.

Hire Data Warehouse Developers with UpStack

Hire a highly skilled Data Warehouse developer and improve your company with UpStack. The proper candidate should be practical, experienced, responsible and receptive, or your project could get behind. UpStack resolves your hiring troubles by matching your company with vetted senior level Data Warehouse programmers. Our highly effective matching process uses advanced artificial intelligence that finds your business an ideal prospect for your forthcoming project. Our blend of A.I. and personal interviews assures an incredible match for your development team. Our ultimate goal is to help you find a Data Warehouse developer that can contribute to your organization right away. Through the years we have refined our hiring process, and is now trusted by top startups country wide. Begin your hiring process with UpStack now and start adding talented developers to your staff.

Hiring a Data Warehouse developer with upstack couldn't be simpler with our capacity to intelligently match you to the right developer. With UpStack the hiring process is streamlined and takes hours instead of weeks to choose a Data Warehouse programmer. Our matching program and expert team will save you time and gets any project started swiftly. UpStack has taken every consideration into account, from the developers availability to the time zone difference between you and the programmer. We're not searching for a good developer fit, we're looking for the perfect one. Simply tell us what skills you're searching for and an UpStack specialist will contact you, it's that easy.

They trust Our Data Warehouse Developers

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Why hire a Data Warehouse developer with UpStack

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    Top Data Warehouse talent pre-vetted for a perfect fit.

    Our 8-point assessment evaluation ensures that every senior Data Warehouse developer you interview exceeds expectations across technical, cultural, and language criteria.

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    Hire reliable, passionate Data Warehouse developers.

    From late-night sprints to jumping on a last-minute face-to-face, we ensure that your recruits are down to get the job done right.

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    Risk-free 14-day trial.

    Confidently onboard candidates with our no-questions-asked trial period. We'll walk you through the contract-to-hire process if and when you're ready to make it permanent with your new Data Warehouse engineer.

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    Our Client Success Experts provide white-glove service.

    Stay laser-focused on your business goals while our team of experts curates potential candidates and manages seamless programmer onboarding.

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    Build your optimal team confidently, quickly.

    UpStack handles everything including background and reference checks, legal issues, and more. Our platform streamlines billing, timesheets, and payment all in one easy-to-access place.

  • Schedule a call with a Client Success Expert to get starting hiring a Data Warehouse developer.

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Hire from the Best.

Working with our Client Success Experts, we'll help you build the remote team of your dreams with top Data Warehouse talent from around the world.

Pre-vetted, reliable Data Warehouse developers are standing by.

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Hiring Data Warehouse Developers | FAQs

  • How much does it cost to hire a Data Warehouse developer?

    UpStack has a simple billing model where each Data Warehouse developer has a standard hourly rate averaging between $65-$75 per hour. Rates are based on skills, knowledge, and experience, and our developers are available mainly for full-time engagement (40 hours per week) and the occasional part-time opportunity (20 hours per week).

  • What is the process to find a Data Warehouse developer?

    You'll connect with an UpStack Client Success Manager to determine your immediate needs. Our team uses a combination of AI and personal assessment to short-list candidates that match your job requirements. From there, you interview, select, and onboard the perfect developer, all within days of your initial call.

  • How does UpStack find its Data Warehouse developers?

    UpStack's talent recruitment team connects with software developers around the globe every day. Each Data Warehouse programmer is vetted for technical, communication, and other soft skills necessary for a developer to successfully work with your team. Once vetted, the candidates are accepted into the UpStack developer community.

  • How is UpStack different from an agency or recruiter?

    UpStack's community of available, pre-vetted engineering talent means minimizing roadblocks to scaling your team effectively, efficiently, and immediately. Our Client Success Experts work with you and your UpStack developer to ensure a smooth and seamless engagement.

  • Can I hire UpStack Data Warehouse developers directly?

    Yes, you can hire UpStack Data Warehouse developers at any time, and with the same assurance of smoothly on boarding talent risk-free. First, we'd create a job opening on our portal. Then, we'd vet, interview, and match developers that meet your needs. If you're satisfied at the end of the 14-day trial period, at any time you can directly hire them.