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Top Apache Spark Developers with UpStack

Al
Al M.

Al Mahdi is a digital transformation expert at the forefront of the AI revolution who guides businesses through the transformative power of AI and offers clients a comprehensive and personalized support system that addresses their specific challenges. With expertise in developing systems that use Machine Learning, neural networks, and new technologies, he crafts highly performant software using a client-centered approach and feedback to fine-tune the quality of solutions delivered to clients. Boasting a diverse set of technical skills, ranging from Big Data and BI to business analysis and AI, allows Al Mahdi to navigate complex challenges, identify valuable insights, and develop actionable ROI-centric solutions.

Steven
Steven B.

Steven is a qualified Data Scientist and Data Engineer who develops and deploys full analysis pipelines for Machine Learning and data mining projects on large datasets. He has hands-on experience translating models into business insights and applying data knowledge to real-world business problems. Steven uses various technology stacks to deliver solutions to complex projects using a practical focus and collaborating in cross-functional teams.

Paul
Paul H.

Paul is a seasoned Frontend Developer with 6+ years of development expertise in the iteration of websites, interactive and user-friendly apps; building, developing, testing, documenting and delivering quality solutions to meet client needs. He acts as an important technical resource for industry best practices and modern standards-based approaches in the deployment of state-of-the-art web services that fit requirements for data analysis and visualization.

Meliksah
Meliksah S.

I am a Senior Software Engineer with 9+ years of hands-on expertise in iterative development; diving deep into different stacks for software architecture - DevOps pipelines and Infrastructure operations using Java as the main technology. I manage multiple priorities on projects; decomposing requirements into cohesive functional and technical modules and related interfaces, establishing sound architecture and design best practices with optimization for long-term testability, reusability, and stability of deployed solutions.

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.

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.

Rajeev
Rajeev K.

Rajeev is passionate about data and machine learning and has more than five years of experience in data science projects across numerous industries and applications. He's currently focused on cutting-edge technologies such as TensorFlow, Keras, deep learning, and most of the Python data science stack. Rajeev has used these skills to solve many real business problems in NLP, image processing, and time series domains.

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.

Naga
Naga B.

Naga is a passionate Data Engineer with over 8 years of experience in designing, developing, and optimizing entire data pipelines including data science algorithms in production at scale with operational reliability. He has extensive experience with Python, Shell Scripting, Big Data, Hadoop, Hive, Spark, Kafka, Airflow, as well as cloud environments including AWS and Azure. Naga's expertise includes assessing organizational data needs and architecting the right approach, migrating traditional warehouse platforms to Big Data if necessary.

Hire Apache Spark Developers with UpStack

Hire a highly skilled Apache Spark 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 Apache Spark 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 Apache Spark 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 Apache Spark 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 Apache Spark 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.

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Why hire a Apache Spark developer with UpStack

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    Top Apache Spark talent pre-vetted for a perfect fit.

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

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    Hire reliable, passionate Apache Spark 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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    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 Apache Spark 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.

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

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Hiring Apache Spark Developers | FAQs

  • How much does it cost to hire a Apache Spark developer?

    UpStack has a simple billing model where each Apache Spark 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 Apache Spark 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 Apache Spark developers?

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

    Yes, you can hire UpStack Apache Spark 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.