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Top Big Query Developers with UpStack

Michael
Michael G.

Michael is a Machine Learning Consultant and Educator with a technical focus on machine learning and statistical analysis using Python, R, SQL and Shiny. He provides expertise for machine learning, regression analysis and statistics, text mining and social media analysis, time series analysis, Shiny Web Applications and machine learning applications using frameworks such as Keras and TensorFlow. He is a keen researcher and participant in international machine learning conferences.

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.

Donatas
Donatas S.

I am a professional BI/Python Developer with 5+ years of technical expertise; curating innovative, performant and scalable solutions on projects with a tangible value for businesses. I have mastery in the delivery of solutions for web-based BI systems (Django/Flask), Data warehouse solutions, ETL pipelines, various API integrations, engaging visualisations (marketing funnel), and predictive analytics scripts.

Ozan
Ozan S.

Ozan designs cost-efficient, fault-tolerant, secure, robust applications, scalable, and distributed systems on AWS; demonstrated proficiency in writing applications with AWS service APIs, AWS CLI, SDKs, containers, CI/CD pipelines, Big Data Pipelines, and Data ETLs by following AWS best practices. He was involved in architecture setup, cloud transformations, and project management beside core development tasks in several start-ups.

Ben
Ben W.

Ben is an experienced Data Engineer providing technical expertise and leadership for the implementation of solutions within OLTP and OLAP environments. He is hands-on in the development and deployment of robust data processing pipelines and streams - handling ETL processes, architecture, storage, reliability, accuracy, monitoring, and infrastructure on different workflow projects.

Jatin
Jatin M.

Jatin is a Senior Data Engineer/Scientist with 10+ years industry expertise building innovative enterprise data solutions leveraging both cloud and on-prem technologies. He is a self-starter with great communication skills, a solid understanding of data science, advanced statistics, machine learning data mining and visualization techniques. He creates and maintains new data pipelines on projects; leveraging data at scale, implementing critical ETL pipelines and advancing best practices in a fast-paced, collaborative, inclusive, and iterative delivery environment.

Fernando
Fernando F.

Fernando is an experienced data engineer with 12 years of professional experience wrangling big datasets as a co-founder of a large big data analytics company. He is a database expert with experience in Big Data Analytics and Statistical software implementation using Postgres, Python, Redshift, Oracle, Hadoop, SQL, MongoDB, and other tools and technologies. Fernando has co-founded a healthcare analytics firm from the ground up and grew it to have 40 of the top 100 pharma companies as clients. He also created and released a web-based patient randomization system with unblinding capabilities licensed to 2 big pharma companies.

Hanee'
Hanee' S.

Hanee is an expert Data Engineer with data warehousing and big data experience; creating clusters on the cloud, developing extraction and transformation jobs, data modelling and data structures. He provides solution-level strategies that define the guiding principles of how clients utilize and consume data - building new data pipelines and providing automated solutions to deliver advanced analytical capabilities on projects.

Gurjot
Gurjot S.

I am a Senior Software Engineer with 5+ years of software development experience; designing, implementing, and operating different web applications, APIs and web services on projects using modern technologies, development techniques and best practices. I work in an Agile environment; striving to improve solutions, systems and culture, working on challenges without being afraid to suggest and deliver solutions.

Emilio
Emilio G.

Emilio is a PHP Developer with senior-level technical expertise - guiding clients to build software solutions the "right way" with maintainable, scalable, tested and documented solutions. He produces solutions to improve software infrastructure, improve existing code, identify and fix bugs and ensure that software properties and components function responsively across different platforms.

Hire Big Query Developers with UpStack

Hire a highly skilled Big Query 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 Big Query 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 Big Query 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 Big Query 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 Big Query 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 Big Query Developers

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Why hire a Big Query developer with UpStack

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    Top Big Query talent pre-vetted for a perfect fit.

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

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    Hire reliable, passionate Big Query 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 Big Query 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 Big Query 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 Big Query talent from around the world.

Pre-vetted, reliable Big Query developers are standing by.

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UpStack Platform for Hiring Big Query Developers
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Hiring Big Query Developers | FAQs

  • How much does it cost to hire a Big Query developer?

    UpStack has a simple billing model where each Big Query 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 Big Query 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 Big Query developers?

    UpStack's talent recruitment team connects with software developers around the globe every day. Each Big Query 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 Big Query developers directly?

    Yes, you can hire UpStack Big Query 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.