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Top Spark Developers with UpStack

Sorin C.

I am a software engineer and architect with an extensive background in architectural and back-end development (Java, J2EE, .NET) across domains as diverse as healthcare, administration, and banking and in areas ranging from embedded systems to enterprise applications. I work at various levels of abstraction, from high-level architecture to detailed designs with complex coding such as multithreading and memory layout. Proficient in all steps of the software life cycle including requirements engineering, analysis/design, implementation, testing, bug fixing, and technical management. I have extensive global experience, throughout 3 countries, and have served as a remote developer on international teams. I am passionate about creating outstanding projects for clients that meet and exceed all expectations.

André N.

I am an expert Sysadmin/Devops/SRE Engineer (Unix/Networking - CCNA and CCNP Certified) with 5+ years of technical specialty in the provision of cloud Cluster solutions (Private, Public, Hybrid, Elastic, Scalable, HA, Reliable), DevOps Workflow mindset, SRE discipline (automatic and self-healing app), Agile methodology, CI/CD automated pipelines, Big Data, IaaS, PaaS, SaaS, IaC Solutions and Microservices/Serverless Functions for clients.

Cristian P.

Cristian is a skilled Senior Software Engineer with 6+ years of technical expertise in the development of web applications; processing billions of rows of data in Python and Java, queried big data with Apache Spark, and tackled DevOps with AWS and Jenkins. He is a security champion on projects driven by quality, performance, problem-solving, and results.

andres I.

Andres is an experienced Software Engineer with a decade plus of software development know-how providing quality assurance, quality control, development, architecture, and project management expertise on projects for clients. He is focused, challenge-oriented, and strives to create and deliver high-quality software solutions for clients.

Ruud T.

Ruud is a business-minded Data Scientist with 7+ years of technical expertise in the delivery of valuable data-driven solutions and insights on projects via data analytics and advanced data-driven methods. He provides solutions that drive sustainable corporate growth; with gains in customer loyalty and profits.

Ramon P.

I am a Data Engineer with 4+ years proven SQL experience, passionate about building innovative predictive analytics and data science solutions. Coming from a technical background with 5+ years expertise in Python programming, allows me to research unknown domains as well as learn cutting-edge technologies effectively. Most importantly, I am a team player with a bias for action and a strong drive to keep learning. Right now I’m also fascinated by Reinforcement learning, Blockchain and their significance for the future.

Oleh M.

I am a highly-skilled Android/Java developer with 5+ years of technical expertise in the provision of mobile solutions on projects for clients. I utilize new approaches and in-depth experience in mobile development for the delivery of excellent solutions on projects using Java, Android SDK, NDK, REST, Git, Gradle, Maven, SQLite, and Realm Solid through the full mobile development life cycle.

Abdurrahman T.

I am an experienced Backend Engineer/Data Scientist with 3+ years of experience; delivering high-quality, now-in-production APIs and services to clients. I have expertise in API design, Backend and Big Data/ML. I am also a security enthusiast with hands-on experience in OWASP SCP.

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.

Diego A.

Diego is a Python Developer applying modern development best practices to concept, design, prototype, develop, and release backend solutions - creating flowcharts and user guides, documenting programming tasks, writing complex queries, and performing routine maintenance. He writes well-designed, maintainable, scalable, and secure code in Python, proficient in core Python concepts, data structures, OOP, and data-related frameworks and libraries.

Hire Spark Developers with UpStack

When it comes to tackling big data projects, there is no better choice than a Spark developer. Spark is a powerful open-source tool for analytics and data processing, and having a skilled developer on your team can make the difference between success and failure. Hiring the right person for the job can be a troubling task, as it requires a deep understanding of the technology, the task at hand, and the company’s needs. This section will provide guidelines on how to hire a Spark developer and what to look for in order to make the best decision. By understanding the roles and responsibilities of a Spark developer, you can ensure that you have the right person for the job and create a successful big data project.

What is a Spark Developer?

A Spark developer is someone who writes and maintains code that runs on the Spark platform. The Spark platform is used to run data analytics applications. A Spark developer’s responsibilities may include designing and implementing data pipelines and orchestrating data processing pipelines. Some of the most common tasks expected of a Spark developer are: A Spark developer should be able to write, test, document, and debug the code, as well as troubleshoot issues that may arise.

What are the roles and responsibilities of a Spark Developer?

The responsibilities of a Spark developer can vary depending on their experience, role, and the project specifics. In general, Spark developers are responsible for designing, implementing, and testing big data applications that run on a distributed processing engine like Apache Spark. Most of the time, a Spark programmer will work with data engineers to create data pipelines and transform raw data into useful and actionable insights. Spark developers write code that is deployed on Apache Spark and Hadoop clusters.

How to assess a Spark Developer’s skills?

There are a few key skills required by Spark developers. These include technical skills, soft skills, and project management skills. Let’s take a closer look at each one: - Technical skills: A Spark developer must have an in-depth understanding of the technology. This includes Apache Spark architecture, distributed data processing, data modelling, and machine learning applications. - Soft skills: Spark developers must also possess soft skills, particularly communication and team collaboration. This is because Spark development is a collaborative process that involves collaboration between data engineers and data scientists. A Spark programmer should also be able to communicate effectively with both technical and non-technical stakeholders, which requires clear and thorough communication.

What to look for in a Spark Programmer?

You can determine if a programmer is a good fit for a Spark project by reviewing their resume, past projects, and interviewing them. Let’s take a look at what each of these factors reveals about a candidate: - Resume: The resume should provide insight into a candidate’s experience with Spark. Ideally, the candidate should have experience with Apache Spark, Spark Streaming, and Spark SQL. - Projects: When reviewing past projects, look for references to the use of Spark. A good indicator that the candidate has worked with Spark is if they are working with a distributed data processing platform. - Interview: During the interview, you should be able to determine how well the candidate understands the project and how they would approach the solution. It’s also important to evaluate the candidate’s communication and collaboration skills.

What type of contract should you use to hire a Spark Developer?

There are two types of contracts that you can use to hire a Spark programmer: an employment contract or a contractor agreement. - Employment contract: An employment contract is a long-term agreement where the employee is considered a full-time member of the team. A benefits package may be included in this type of contract. - Contractor agreement: A contract for services, also known as a contractor agreement, is a short-term agreement that does not include benefits. This type of agreement is most often used to hire freelancers.

What to consider in the job descriptions?

When creating job descriptions for Spark developers, there are a few key points to consider: - Location: Some companies have a preference for hiring developers from a specific location. It is important to note this in the job description. - Experience: Be sure to specify how much experience is required for the position. This will help you eliminate candidates who are not qualified for the job. - Skills: What specific skills are needed to fill the position? You can use these skill requirements to eliminate candidates that are unqualified. - Salary range: When it comes to salary, there are many factors that go into determining the level of compensation for the role. A few things to consider when determining the salary range are the level of experience, skills, and location of the candidate.

How to onboard and manage a Spark Programmer?

In order to onboard and manage a Spark programmer, you need to create a culture of collaboration. This means creating an open environment where employees feel comfortable sharing ideas and feedback with each other. A culture of collaboration is important because it will allow engineers and developers to share their expertise with each other, which will save time and enable successful projects. Hiring the right person can help your business succeed by improving the efficiency of data processing and creating valuable insights.

They trust Our Spark Developers

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Why hire a Spark developer with UpStack

  • Spark Developer and Programmer

    Top Spark talent pre-vetted for a perfect fit.

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

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    Hire reliable, passionate 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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    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 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.

  • Schedule a call with a Client Success Expert to get starting hiring a Spark 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 Spark talent from around the world.

Pre-vetted, reliable Spark developers are standing by.

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UpStack Platform for Hiring Spark Developers
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Hiring Spark Developers | FAQs

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

    UpStack has a simple billing model where each 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 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 Spark developers?

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

    Yes, you can hire UpStack 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.

Common FAQs about Spark?