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Top Pyspark Developers with UpStack

Jacqueline
Jacqueline C.

Well-rounded Data Analyst with 2+ years of experience working with agile projects, Big Data, AWS cloud technology, and developing algorithms on Python or Spark for ETL. I am passionate about descriptive analytics, data visualization, and application of data analysis solutions towards Big Data. Proven experience in interpreting and analyzing data to drive growth for companies such as Santander, BNP Paribas, and Vivo.

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.

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.

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.

Matthias
Matthias D.

Matthias is a highly-skilled Data Scientist with expertise in developing and deploying full analysis pipelines for machine learning projects on large datasets in life insurance and financial services. He has hands-on experience in translating models into business insights, applying data intelligence to real-world business problems. He employs various technology stacks such as Python, Pandas, and PySpark, to deliver solutions to complex projects utilizing a practical focus.

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.

Marcelo
Marcelo M.

Marcelo is a Senior Developer with solid knowledge of Python - its models, frameworks, libraries, packages and APIs. He is fluent in C/C++, Fortran, Big Data and Google Cloud Platform. He designs and develops new end-to-end solutions on projects with minimal supervision - building reusable and maintainable to improve code functionality and reliability.

Lijo
Lijo L.

Lijo is an expert Data Engineer proficient in analytics, database design, visualization/insight generation and data modelling. He is hands-on in Big Data solutions and is abreast of data-focused programming/scripting languages, modern data engineering approaches and best practices. He manages, manipulates, stores and parses data through ETL for several target sources - building and maintaining data systems and pipelines.

Connor
Connor K.

Connor is a Python Developer writing code for new products, software components, and web applications for 5+ years. He creates, designs, implements and maintains applications in the appropriate environment - troubleshooting and identifying root causes of complex technical issues on projects. He anticipates challenges, mitigates risks, tracks and monitors industry trends and utilizes best practices in solving problems on solutions.

Yuriy
Yuriy M.

Yuriy is an expert Data Architect with experience spanning data warehousing, data engineering, big data and business intelligence. He defines the data architecture framework, standards, and principles on solutions - indicating how to manage data flows and how data changes in transition. He works with the latest frameworks and toolsets to translate business requirements into data streams, integrations, transformations, databases and data warehouses.

Hire Pyspark Developers with UpStack

Hire a highly skilled Pyspark 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 Pyspark 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 Pyspark 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 Pyspark 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 Pyspark 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 Pyspark Developers

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Why hire a Pyspark developer with UpStack

  • Pyspark Developer and Programmer

    Top Pyspark talent pre-vetted for a perfect fit.

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

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    Hire reliable, passionate Pyspark 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 Pyspark 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 Pyspark 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 Pyspark talent from around the world.

Pre-vetted, reliable Pyspark developers are standing by.

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Hiring Pyspark Developers | FAQs

  • How much does it cost to hire a Pyspark developer?

    UpStack has a simple billing model where each Pyspark 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 Pyspark 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 Pyspark developers?

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

    Yes, you can hire UpStack Pyspark 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.