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Vetted Google BigQuery developer in the United Kingdom
**python jedi** with baby yoda skills @ JS, React, Redux. I am a senior software engineer @ Pinterest with over a decade of software engineering experience with B2B and B2C products in large and startups alike. I have extensive experience building large scale systems which solve real world problems and bring in up to billions of dollars in revenue. I have a bachelor's and master's degree in computer science with a specialization in Machine Learning and have been coding for the last 17 odd years. Outside of work, I like to cycle, take portraits and workout regularly.
Vetted Google BigQuery developer in the United Kingdom (UTC+1)
An experienced data scientist with extensive technical proficiency and a consulting background gained from diverse projects across medical, retail, consumer, space, and energy domains. My focus lies in applying data science to tackle complex challenges and providing innovative solutions that yield significant business outcomes. I possess a distinctive combination of technical prowess and strategic thinking, underpinned by a robust foundation in fields like statistical analysis, machine learning, deep learning, NLP etc. Currently, I am actively pursuing challenging opportunities to further enhance my technical skills, aiming to contribute to a forward-thinking organization where my expertise can propel development and technological advancement.
Vetted Google BigQuery developer in the United Kingdom (UTC+1)
• Cloud Platforms: Extensive experience with AWS, Azure, and GCP, focusing on cloud-native solutions and best practices. • DevOps and CI/CD: Proficient in Jenkins, Terraform, CloudFormation, Sonar, Nexus, and Git. Developed CI/CD pipelines ensuring smooth deployment and automation. • Containerization and Orchestration: Hands-on experience configuring and running production workloads on Kubernetes. Knowledge of Docker and server virtualization technologies like Hyper-V and VMware. • Monitoring and Observability: Implemented comprehensive observability controls using various tools to enhance system monitoring, performance analysis, and issue resolution. • Networking and Security: Strong understanding of cloud networking, connectivity patterns, and security protocols. • Programming and Scripting: Experienced in API interfaces with RESTful, SOAP, JSON, and Postman. Good understanding of web technologies. • Database Management: Proficient in SQL databases including MySQL, MSSQL, and Redis. • Personal Traits: Analytical thinker, problem-solver, team collaborator.
Vetted Google BigQuery developer in the United Kingdom
Data Engineer with over 5 years of experience in developing Python-based solutions and leveraging Machine Learning algorithms to address complex challenges. I have a strong background in Data Integration, Data Warehousing, Data Modelling, and Data Quality. I excel at implementing and maintaining both batch and streaming Big Data pipelines with automated workflows. My expertise lies in driving data-driven insights, optimizing processes, and delivering value to businesses through a comprehensive understanding of data engineering principles and best practices. KEY SKILLS Python | SQL | PySpark | JavaScript | Google cloud platform (GCP) | Azure | Amazon web services (AWS) | TensorFlow | Keras | ETL | ELT | DBT | BigQuery | BigTable | Redshift | Snowflake | Data warehouse | Data Lake | Data proc | Data Flow | Data Fusion | Data prep | Pubsub | Looker | Data studio | Data factory | Databricks | Auto ML | Vertex AI | Pandas | Big Data | Numpy | Dask | Apache Beam | Apache Airflow | Azure Synapse | Cloud Data Loss Prevention | Machine Learning | Deep learning | Kafka | Scikit Learn | Data visualisation | Tableau | Power BI | Django | Git | GitLab |
Vetted Google BigQuery developer in the United Kingdom
I hold an MSc in Industrial Engineering and throughout the years I have created and deployed chatbots, recommender systems, decision, classification and forecasting models as well as many processing pipelines. On the different teams I have collaborated or lead, I have always promoted best practices and I have held mentoring sessions to learn the basics or discover new technologies. Proficient in Python, NLP, ML Ops, and various ML tools, including the major cloud providers.
Vetted Google BigQuery developer in the United Kingdom
Senior contract software engineer with 7+ years of expertise spanning startups to enterprise organizations. Proven track record delivering cloud-native solutions for FTSE 250 companies, tier-1 banks, and government agencies. Looking for remote work on a b2b basis.
Vetted Google BigQuery developer in the United Kingdom
Software/data engineer with **5 years** of experience. Using **Python** and **SQL** to solve all kinds of problems: RESTFull APIs, Machine Learning algorithms implementation, event-based data platforms, web crawlers, microservices for external API integration, etc. I also hold a **PhD in Electrical Engineering** which allows me to contribute with critical thinking in research environments.
Vetted Google BigQuery developer in the United Kingdom
With a deep expertise in full-stack development, there is a focus on creating high-performance applications, particularly in EdTech, FinTech, and hospitality. Proven experience in JavaScript, ReactJS (NextJS), and TypeScript allows for the development of scalable, user-focused solutions, while backend capabilities include Python and Node.js. Proficiency in cloud services like GCP and AWS enables the deployment of robust applications and data architectures. Collaborative and innovative, enjoys working with cross-functional teams to deliver impactful results in fast-paced environments. Skilled at streamlining processes with CI/CD pipelines and mentoring junior developers to elevate team capabilities. Expertise in building efficient data pipelines, designing user-friendly interfaces, and contributing to strategic product development. Adept at conducting software engineering talks and implementing design systems that improve UI consistency and performance across projects.
Vetted Google BigQuery developer in the United Kingdom (UTC+1)
Senior Data Engineer with a strong focus on Data architecture, Data modeling, Cloud architecture and Data Governance.
Vetted Google BigQuery developer in the United Kingdom (UTC+1)
* 9 years of total IT experience building my career from associate developer to associate solution architect; * Hands on Experience as a MuleSoft Developer and Lead Engineer, Azure DevOps Engineer and as TIBCO Administrator; * Navigates high-stress situations and achieves goals on time; * Skills: SDLC: Agile (Scrum, Sprint Planning, Retrospective, Release Planning), Jira, Azure DevOps; Integration: MuleSoft (3 and 4), TIBCO BW; Programming Languages: Java, JavaScript; Web Security: SSL, SSO (OAuth and JWT); Cloud Platforms: Azure, MuleSoft Anypoint Platform; CI/CD Tools: Azure Pipelines, Jenkins Pipelines; Build Tools: Maven; Containerization Tools: Docker, Kubernetes; Source Code Management: GitHub, Bitbucket, Azure Repos; Logging and Monitoring: Anypoint Monitoring, ELK Stack, Splunk, Grafana, Azure Service Health; Databases: DynamoDB, MongoDB, SQL; Testing Tools: Postman, SOAP-UI, JMeter; Mobile App Development Framework: Flutter; Integration End Systems: SAP (IDoc, BAPI, OData API), SFTP, SMB File share, Salesforce, MQ (ActiveMQ, Azure Service Bus, Amazon SQS), SQL, MongoDB, DynamoDB, Google BigQuery, ServiceNow, SOAP, REST, GoFormz-Webhooks, Snowflake, NetSuite, Zora.
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Ready to hire your ideal Google BigQuery developers?
Get startedArc offers pre-vetted remote software 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 Software 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 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.
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.
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 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.