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Google BigQuery developers in Australia - Patrick M.
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Patrick M.

Vetted Google BigQuery developer in Australia (UTC+11)

With 8 years of coding experience and a high interest in providing a high level of service, I excel in problem solving and matching requirements to get a projects finished to high standards.

Google BigQuery developers in Australia - Sreejith S.
Sreejith S.

Google BigQuery developer in Australia (UTC+11)

As a Lead Marketing Data Scientist at Appliances Online (a division of Winning Group), I am constantly seeking new and innovative ways to drive business growth through data-driven insights. With over ten years of international experience in data science and analytics, I have honed my expertise in cloud computing, machine learning, big data analytics, and business intelligence. Throughout my career, I have worked as a liaison between business units and technology teams, leveraging my strong communication and collaboration skills to effectively lead consulting initiatives. I am passionate about the potential of predictive analytics and cloud computing to provide scalable insights and have developed strong skill sets in data modeling, data visualization, and data science. I am particularly excited about the possibilities of scaling up data science and analytics projects in the cloud, leveraging Linux/Ubuntu servers in virtual machines to enable end-to-end ML deployment processes. Looking ahead, I see myself at the forefront of data-driven marketing management consulting. Academically, I hold a Bachelor's degree in Electronics Engineering and a postgraduate degree in Information Technology & Strategic Marketing from the University of Technology, Sydney, where I was recognized as an Outstanding International Student Award Holder in both 2014 and 2015. In addition to my professional work, I am an active blogger on Medium, Towards Data Science, Analytics Vidhya, and The Startup. Outside of work, I enjoy traveling, soccer, skydiving, and exploring topics related to metaphysics. As an Australian citizen with an Indian lineage, I am authorized to work full-time in Australia, New Zealand, India, and the US on an E3 visa. If you'd like to learn more about my experience or discuss potential collaboration opportunities, feel free to check out my portfolio on GitHub or reach out to me directly at +61-434221939. Cheers Sree

Google BigQuery developers in Australia - Rodrigo C.
Rodrigo C.

Google BigQuery developer in Australia (UTC+10)

Computer Engineer from the University of Concepción in Chile, with a track record of excellence in roles focused on data. With expertise as a competent Cloud Data Architect, Data Engineer, DBA Consultant (Oracle Advantage Certified Partner), Datamart Developer specializing in Microsoft applications. In these roles, I have assumed significant responsibilities in the design and development of cloud processes; development, maintenance and modeling of new databases, particularly in the domain of ETL processes. I am a quick learner and have a passion for problem-solving.

Google BigQuery developers in Australia - Yoser .
Yoser .

Google BigQuery developer in Australia (UTC+10)

I am a backend software developer with over 17 years of experience in software development. I have worked with Elixir and functional programming for over 4 years. I have strong problem-solving skills and a willingness to learn. My special skills include native Spanish, basic English, team-work, and proficiency in various tools and technologies such as Scrum, UML, SQL, Elixir, Python, Docker, and Git. I have experience working as a Software Engineer, Tech Lead, Product Owner, and Product Leader in various companies. I have a strong educational background in Information Systems Management and System Engineering.

Google BigQuery developers in Australia - Ankur S.
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Ankur S.

Vetted Google BigQuery developer in Australia (UTC+11)

Machine Learning and Cloud DevOps Engineer | TensorFlow, Python, Kubernetes & AWS Certified | Ex-Microsoft * Machine Learning (ML) engineer for an AI start up for over 6 months. * Cloud DevOps engineer for enterprise cloud transformation projects for over 4 years in Australia. ü Over 4 years of experience in automated provisioning of Kubernetes in cloud platforms like Google Kubernetes Engine (GKE), AWS Elastic Kubernetes Service (EKS) and Azure Kubernetes Service (AKS). * Key skills in TensorFlow, Python, Terraform, Helm Charts, Docker, Golang, GitHub workflows, Kubeflow, Flux CD, Shell scripting, Google Cloud Platform (GCP), Amazon Web Service (AWS) and Microsoft Azure. * Past 18+ years of experience in software industry with Cloud experience dating back to 2012. Coming from 14 years of dev experience in Microsoft technology stack. * Past skills in Azure DevOps, ARM Templates, PowerShell Core and C# .NET Core. Linked In profile: https://www.linkedin.com/in/ankursoniji/

Google BigQuery developers in Australia - Ram S.
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Ram S.

Vetted Google BigQuery developer in Australia (UTC+10)

17 years experienced and dedicated Full-Stack Cloud Engineer with a strong background in NodeJS, TypeScript, backend services, AWS, Azure, ReactJS and Flutter. I possess a growth mindset and a can-do attitude. I am highly skilled in designing and managing scalable cloud infrastructures, backend micro services and excel at translating complex requirements into efficient software with robust architecture. I am keen to enhance my skills through new challenges.

Google BigQuery developers in Australia - Daniel H.
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Daniel H.

Vetted Google BigQuery developer in Australia (UTC+10)

It's one thing to be good at programming, it's another thing to understand the big picture, what the product-owner wants and how to go about implementing specifications that meet business goals. This is where I thrive. I make certain that the best tool for the job is used, rather than the most convenient one and I take great care to ensure that the tools I use are as future proof as is possible. Programming with these things in mind really makes a project and is one of the reasons I love this industry. Planning, problem solving and creating amazing things that work beautifully feel like an artform to me and it's what gets me out of bed in the morning. I ofter to clients years of experience helping businesses realise their technical goals, and making their technical journeys as painless as possible. To my future mentee's reading this: my passion for coding and seeing people grow is why you can count on me to be your biggest advocate. My journey teaching myself to code is how you know I can teach you to think critically and with business goals in mind. To my future pair programming buddies: I'm very excited to work with you and learn from eachother as we solve problems together and implement some awesome solutions.

Google BigQuery developers in Australia - Daniel V.
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Daniel V.

Vetted Google BigQuery developer in Australia (UTC+11)

Detail-oriented master in Computer Science, experienced in the complete life cycle of projects ranging from hardware, firmware and software development. A dynamic and fast-learner professional, eager to bring efficient, innovative, and reliable solutions to every project.

Google BigQuery developers in Australia - Hani R.
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Hani R.

Vetted Google BigQuery developer in Australia (UTC+11)

Senior solutions architect, with a focus on backend, cloud, e-commerce and analytics. Strong commercial and GTM strategy exp.

Google BigQuery developers in Australia - Denis L.
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Denis L.

Vetted Google BigQuery developer in Australia (UTC+11)

I am a seasoned engineer with over 25+ years professional experience who is equally versed with creating frontend applications with React/NextJS as I am with creating GraphQL/RESTful APIs with NodeJS in the cloud. My programming language of choice is TypeScript, however I am also very proficient with C#. I am passionate about clean code, reusability and performance optimization. With my meticulous attention to detail, I always deliver applications that is of high quality.

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Why clients hire Google BigQuery 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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FAQs

Why hire a Google BigQuery 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 Google BigQuery 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 Google BigQuery developers can help keep your website up-to-date.

How do I hire Google BigQuery developers?

To hire a Google BigQuery 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 Google BigQuery developers effectively and efficiently. Hire full-time Google BigQuery 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 Google BigQuery 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 Google BigQuery 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 Google BigQuery developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Google BigQuery developers?

There are two types of platforms you can hire Google BigQuery 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 Google BigQuery 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 Google BigQuery developers, consider niche platforms like Arc that naturally attract and carefully vet their Google BigQuery developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google BigQuery developers.

Some factors to consider when you hire Google BigQuery 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 Google BigQuery developers for hire.

How do I write a Google BigQuery developer job description?

Writing a good Google BigQuery developer job description is crucial in helping you hire Google BigQuery 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 Google BigQuery 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 Google BigQuery developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Google BigQuery developer?

The top five technical skills Google BigQuery 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 Google BigQuery 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 Google BigQuery developers to keep up with evolving technology and requirements.

What kinds of Google BigQuery developers are available for hire through Arc?

You can find a variety of Google BigQuery developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Google BigQuery developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google BigQuery 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 Google BigQuery 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 Google BigQuery developers?

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

Every Google BigQuery 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 Google BigQuery 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 Google BigQuery developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Google BigQuery 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 Google BigQuery 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 Google BigQuery developers, you can rest assured that all remote Google BigQuery 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 Google BigQuery developers on Arc?

Arc pre-screens all of our remote Google BigQuery developers before we present them to you. As such, all the remote Google BigQuery 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 Google BigQuery developer in 72 hours, or find a full-time Google BigQuery 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 Google BigQuery developers.

How much does a freelance Google BigQuery developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Google BigQuery developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google BigQuery 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 Google BigQuery 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 Google BigQuery 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 Google BigQuery 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 Google BigQuery developers, check out our FAQs page.

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