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Top Big Data developers available to hire:

Big Data developers in Singapore - koh N.
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koh N.

Vetted Big Data developer in Singapore (UTC+1)

Hi there! I am a Data scientist/ AI engineer with 6 years of experience in natural language processing, big data and Gen AI. ➕My value add to Dun and Bradstreet: Spearheaded and deployed end to end machine learning and AI projects in the Adtech domain generating 1M-6M in revenue on both AWS and Google Cloud Platform. 💻Deployed GenAI project using LLM with Retrieval Automated Generation (RAG) for generating audience segment recommendations on Google Cloud. ✍️Designed system architecture and processed big data (few TB) daily using pyspark and snowflake. Launched demographic precision segments product increasing access to high quality demographic data. Credentials🎓: Graduated from Georgia Institute of Technology with a Masters in Analytics, certified Google Machine Learning Engineer

Big Data developers in Singapore - Hien N.
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Hien N.

Vetted Big Data developer in Singapore (UTC+8)

Experienced software engineer focused in back end system, data engineer. I worked 5 years in software development in Europe, Singapore. \- Software engineer, offers from FAANG \- 4y+ experience in backend, data, devops, ML, AI \- Java, Golang, Node.js, SQL, CD/CI, AWS

Big Data developers in Singapore - hansel .
hansel .

Big Data developer in Singapore (UTC+8)

A dynamic and seasoned DevOps and AI professional with over 30 years in software development. My career is marked by a proven track record in leading successful DevOps initiatives and AI project deliveries, with a particular emphasis on developing innovative software solutions. With a passion for problem-solving and a love for diving deep into technical challenges, I am adept at managing both macro-level strategies and micro-level technical details. I bring a unique blend of expertise that bridges the gap between robust DevOps practices and cutting-edge AI advancements, ensuring the delivery of high-quality, innovative AI enabled solutions. Am looking to get as good as I can be in AI technologies.

Big Data developers in Singapore - Thinagar S.
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Thinagar S.

Vetted Big Data developer in Singapore (UTC+8)

With more than four years in data, I work on the entire engineering process, from collecting to analyzing. Experienced in Python, SQL, and Spark, I build data pipelines and optimize workflows for quality and scalability. Whether in warehousing or modeling, I enjoy solving complex issues creatively. Besides technical expertise, I excel in dynamic settings, collaborating across teams to turn business needs into scalable data solutions

Big Data developers in Singapore - Muhammad Z.
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Muhammad Z.

Vetted Big Data developer in Singapore (UTC+8)

I am a Singaporean platform engineer with expertise in programming languages like Python and Java, technologies like AWS and Docker, and certifications in CCNA and AWS Solutions Architect.

Big Data developers in Singapore - Edward E.
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Edward E.

Vetted Big Data developer in Singapore (UTC+8)

Around 14 years’ experience in the Salesforce space. Architect by title, programmer by heart. Loves the code aspect of salesforce, but always keen on solutions within the declarative and configuration side of the platform. Elegance and simplicity over everything. Worked for different sides of the ecosystem; from consulting, end client, and even working with AppExchange app development partners. Key strengths lie mostly around custom development within the platform. My north star has always been in delivering fit for purpose solutions that are scalable and sustainable in the long run. Designing solutions that are elegant and help customers leverage their investment to the Salesforce platform to the fullest. Disclaimer: currently travelling/backpacking at the moment Feel free to connect in LinkedIn: [https://www.linkedin.com/in/edward-encarnacion-salesforce/](https://www.linkedin.com/in/edward-encarnacion-salesforce/)

Big Data developers in Singapore - Sheng L.
Sheng L.

Big Data developer in Singapore (UTC+8)

As a highly motivated IT professional with extensive experience in application support, I have a proven track record in various roles, including Business Intelligence Analyst, Senior System Analyst, Support Analyst, and Senior Software Engineer. I excel in collaborative environments, working closely with engineering teams to resolve incidents, prepare SQL scripts for investigation, and prioritize incident management based on ITIL practices. My technical expertise spans Microsoft technologies (.NET, MVC, WebAPI, C#, [VB.NET](http://vb.net/)), batch scripting, task scheduling, and REST API. Additionally, I am skilled in using Postman for API testing and troubleshooting. I am adept at documenting requirements, conducting user acceptance testing, and providing training. My commitment to engagement and collaboration drives me to deliver exceptional results and contribute to organizational success.

Big Data developers in Singapore - Eugene .
Eugene .

Big Data developer in Singapore (UTC+8)

I’m Eugene, a guy with a family of three, pretty good at handling both internal and external users. I’ve been in support for 6 years and have 7 years of experience dealing with customers directly, so I know how to navigate different types of situations and keep things running smoothly.

Big Data developers in Singapore - Ngiap K.
Ngiap K.

Big Data developer in Singapore (UTC+8)

I have experience leading teams in implementing Data Science initiatives, process improvements, and automation projects. I have expertise in Python, RPA, PowerBI, and Tableau for enhancing operational efficiency and visibility.

Big Data developers in Singapore - Nikhila R.
Nikhila R.

Big Data developer in Singapore (UTC+8)

I have a Diploma in Data Science from SIM University and a Bachelor's Degree from the Indian Institute of Technology. I have experience as an Analytics Consultant and Lead Business Intelligence Analyst, where I implemented metrics and KPIs, optimized ad campaigns, and created efficient databases and dashboards. I also have experience in fraud detection, pricing analysis, and conducting POC

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Why clients hire Big Data developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Hire top software developers in Singapore with Arc

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FAQs

Why hire a Big Data developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Big Data developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Big Data developers can help keep your website up-to-date.

How do I hire Big Data developers?

To hire a Big Data developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Big Data developers effectively and efficiently. Hire full-time Big Data developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Big Data developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Big Data developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Big Data developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Big Data developers?

There are two types of platforms you can hire Big Data developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Big Data developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Big Data developers, consider niche platforms like Arc that naturally attract and carefully vet their Big Data developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Big Data developers.

Some factors to consider when you hire Big Data developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Big Data developers for hire.

How do I write a Big Data developer job description?

Writing a good Big Data developer job description is crucial in helping you hire Big Data developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Big Data developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Big Data developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Big Data developer?

The top five technical skills Big Data developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Big Data developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Big Data developers to keep up with evolving technology and requirements.

What kinds of Big Data developers are available for hire through Arc?

You can find a variety of Big Data developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Big Data developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Big Data developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Big Data developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Big Data developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Big Data developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Big Data developers.

Every Big Data developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Big Data developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Big Data developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Big Data developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Big Data developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Big Data developers, you can rest assured that all remote Big Data developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Big Data developers on Arc?

Arc pre-screens all of our remote Big Data developers before we present them to you. As such, all the remote Big Data developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Big Data developer in 72 hours, or find a full-time Big Data developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Big Data developers.

How much does a freelance Big Data developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Big Data developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Big Data developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Big Data developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Big Data developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Big Data developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Big Data developers, check out our FAQs page.

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