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Vetted Google BigQuery developer in India (UTC+6)
I am an AI/ML Architect and Full-Stack Developer with over 10 years of experience in designing and delivering advanced software solutions in Healthcare. As a Forbes 30 Under 30 Asia healthcare honoree and Y Combinator alumnus, I have successfully built HIPAA-compliant level cloud architectures and scaled enterprise applications. I have a strong background in NLP, LLMs, and DevOps, and I am dedicated to leveraging AI to revolutionize healthtech and other industries.
Vetted Google BigQuery developer in India (UTC+6)
I am a Senior Data Scientist with over 9 years of experience in leveraging advanced AI, machine learning, and deep learning techniques to solve complex business challenges across industries like banking, retail, manufacturing, and technology. My expertise lies in designing scalable solutions that drive measurable outcomes, optimize processes, and empower organizations to make data-driven decisions. Currently, at JPMorgan Chase & Co., I lead initiatives that have delivered significant business value, including developing an unsupervised payment risk detection model that mitigated fraud risks and saved $24M globally. I also spearheaded the creation of a Retrieval-Augmented Generation (RAG) framework to enhance enterprise-wide information retrieval and knowledge generation. My work on standardizing LLM evaluation frameworks has improved cross-functional collaboration and ensured consistency in model performance metrics. Previously, at Walmart Global Tech India, I contributed to sustainability goals by building multi-model machine learning systems for EV charging station recommendations while driving store revenue growth. I also implemented transformer-based models for product categorization and price standardization. At Tiger Analytics, I developed real-time predictive maintenance systems that saved $50M annually for a global steel manufacturer and improved inventory forecasting accuracy by over 20%. With a strong foundation in programming languages like Python and SQL, libraries such as PyTorch and LangChain, and expertise in cloud platforms like AWS SageMaker and GCP BigQuery, I specialize in cutting-edge technologies like Large Language Models (LLMs), Natural Language Processing (NLP), anomaly detection, and MLOps. My academic projects further showcase my ability to innovate in areas like federated learning for DocVQA, RAG frameworks for better retrieval-generation pipelines, and prompt compression for optimized token utilization. Beyond my professional achievements, I am dedicated to mentoring aspiring AI professionals through Scaler Academy and sharing insights as a tech blogger at KnowledgeHut. My mission is to harness the power of AI to create meaningful impact while fostering growth in the AI community.
Vetted Google BigQuery developer in India (UTC+6)
Personable, tenacious and Senior Machine learning Operation(MlOps) engineer with years of experience in AI Research and analyst environments. Exhibits excellent organizational and problem-solving skills. Works well in team environments and displays strong work ethic
Google BigQuery developer in India (UTC+6)
14+ years of total expertise including 12+ in distributed systems, technical architecture, and scalable solutions
Google BigQuery developer in India (UTC+6)
Senior Data Engineering Professional with a deep understanding of diverse technologies and methodologies, adept at building efficient ETL pipelines, developing robust applications, and implementing data warehouses using cutting-edge cloud platforms.
Vetted Google BigQuery developer in India (UTC-7)
Accomplished Sr Data Engineer with a data-driven mindset and a strong focus on leveraging technology. Demonstrates exceptional communication skills with stakeholders, successfully building consensus around robust models. Proficient in application development and adept at re-imagining and optimizing models. Highly skilled in designing and implementing complex data pipelines to meet the most demanding requirements and ensure seamless integration of advanced models.
Vetted Google BigQuery developer in India (UTC+6)
HHHello! I'm Avikalp, a **tech nerd, builder & automater**, passionate about helping developers thrive in their careers. With software development, data science, and leadership expertise, I specialize in full-stack development & deployment of large-scale commercial AI-driven products. My entrepreneurial instincts help me focus on the problem and find the most optimal (economical & performant) solutions. ver code very fulfilling and I've played a crucial role in establishing the code review, versioning & knowledge transfer mechanisms for every team I've worked with.
Vetted Google BigQuery developer in India (UTC+6)
Versatile Data Scientist distinguished for collaborative skills and a track record of independently delivering impactful results. I have experience in instance segmentation, object detection, clustering, OCR time series forecasting, post-processing forecast correction, retail analytics, regex, delivering well-documented, tested, and operable code. I have also worked with Turing on their LLM deliverables, curating high quality dataset for python coding practises. Efficient in collaborating and communicating new ideas and opinions.
Google BigQuery developer in India (UTC+6)
I am a Full Stack Software Developer with 9+ years of experience. I have completed my Master's in Computer Science from SUNY, Binghamton. I have been part of multiple large scale distributed projects in different domain. My expertise lies in Backend Development with Java as my preferred programming language. But i have worked with other languages as well, like, python, Javascript. Currently I work as an Application Developer for a Security Org in a reputable company. I build applications to secure our infrastructure from attacks. I also have experience in building NodeJS/React applications.
Vetted Google BigQuery developer in India (UTC+6)
I am a Senior Consultant in Big Data and Data Science with expertise in Generative AI (LLMs), various programming languages, frameworks, databases, and software engineering skills. I have experience in developing chatbots, computer vision applications, analytics dashboards, and software engineering projects.
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Ready to hire your ideal Google BigQuery developers?
Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Google BigQuery developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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.
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.
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.
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 Engineer Job Description Guide & Templates.
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 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.
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 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.
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.
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.
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.
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.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for 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.