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Data Engineering developer in Vietnam (UTC+7)
With over 3 years of experience in SQL, Python, and Scala working as a Software/Data Engineer, I've contributed to various projects and delivered impactful results for companies ranging from early-stage startups to corporations. Throughout my career, I've worked with teams of various sizes, ranging from small engineering teams to larger cross-functional teams. I've also taken on additional responsibilities such as training and supporting junior engineers and providing technical guidance to other teams.
Data Engineering developer in Vietnam (UTC+7)
Data Scientist with over 6 years of experience, adept in Machine Learning, Apache Spark, Scala, Python, Data Engineering, SQL, and Data Analysis. Demonstrates strong teamwork spirit and collaboration skills. Proficient in the entire flow of data analytics projects, from identifying business pain points to ML model engineering, deployment, and monitoring. Capable of functioning as a data engineer, adept at constructing data pipelines for both batch and streaming applications.
Data Engineering developer in Vietnam (UTC+7)
As a Software Engineer, I work on developing and maintaining the backend of the platform that enables buy now, pay later solutions for e-commerce businesses. I have over eight years of experience in software engineering, working in both outsourcing and product companies across multiple business domains. I have a strong background in backend development, with expertise in Java, SQL, and problem solving. I also have a Bachelor's degree in Computer Science from Oxford Brookes University, where I learned the fundamentals of programming, data structures, algorithms, and software design. I am passionate about creating innovative and user-friendly products that solve real-world problems and deliver value to customers. I enjoy working in a collaborative and agile environment, where I can contribute to the team's goals and learn from others. I am always eager to improve my skills and explore new technologies and frameworks.
Data Engineering developer in Vietnam (UTC+7)
All-rounder, built many things from scratch, hardware/software fused.
Data Engineering developer in Vietnam (UTC+7)
I am a software engineer with experience in building SAAS frameworks for document extraction using computer vision and NLP. I have also worked as a Python developer, building web-apps with Heroku PaaS. In terms of projects, I have participated in Kaggle competitions and achieved a score of 0.469 RMSLE. I have also worked on projects exploring and tuning NMT systems and debugging object detection systems. I have completed a machine learning foundation class with distinction and have a bachelor's degree in environmental engineering. My thesis project focused on using regression models to predict land-use conversion.
Data Engineering developer in Vietnam (UTC+7)
I am an experienced problem-solver with over 8 years of experience in software development. I have a logical mind and enjoy researching, organizing, and optimizing projects. My experience in different programming languages and frameworks, coupled with my learning attitude, enables me to learn and adapt to new technologies quickly. I am looking for a challenging environment that fosters growth and collaboration. My **strengths** are: * Problem-solving and optimizing to improve project outcomes. * Writing clean code with a unit test to ensure quality. * Working under high pressure and tight deadlines. * Researching and learning new technologies quickly. * Collaborating with colleagues to find solutions and enhance projects. * Working independently and as part of a team. * Embracing low-code and no-code solutions.
Data Engineering developer in Vietnam (UTC+7)
* 6 years working as Backend Engineer with Golang, Java. * 3 years hand on DevOps perspective using AWS (mainly), Azure, Naver. * Having experience with some web frameworks: Spring, Spring Boot, Spring Data, echo, beego, gin. * Experienced in applying CI/CD with Jenkins and Gitlab CI * Experienced with Restful, gRPC, MQTT, WebSocket, Apache Kafka * Have experienced in working with Docker and Kubernetes * Experience in using AWS(EC2, ECS, SSM, CloudWatch, CloudFront, Lambda S3, SNS, SQS) * **AWS Certified DevOps Engineer - Professional** * **AWS Certified Solution Architect – Associate** * **AWS Certified Developer – Associate** * **AWS Certified SysOps Administrator – Associate**
Vetted Data Engineering developer in Vietnam (UTC+7)
I like perfection. It is important for me: the work that I do is creative and is an art. Therefore, I like the ideas of Apple, its products, I like to participate in the development of iOS-applications. My development experience for the iOS platform is more than 8 year. Familiar with Flutter, Kotlin, Java, React Native: 1 year. Prior to that, I was engaged in the development of business management systems, databases - 10 years. In the future, I would like to develop various unique and interesting iOS applications. Member of the Apple Developer Program. My linkedIn profile: [linkedin.com/in/konstantin-pikhterev-963769105](https://www.linkedin.com/in/konstantin-pikhterev-963769105)
Data Engineering developer in Vietnam (UTC+7)
Experienced Senior Software Engineer with a proven track record in designing and implementing robust, scalable software solutions. Specialized in microservices, DDD, and .NET technologies with a strong focus on customer service and system performance. Proficient in time management, problem-solving, and communication. Currently targeting opportunities to design and build low-code systems to streamline development processes and enhance productivity.
Vetted Data Engineering developer in Vietnam (UTC+7)
I am a seasoned technology engineer specializing in DevOps, cloud infrastructure, and AI-driven solutions. With a deep-rooted passion for AI's transformative potential, I bring over two decades of experience across multiple global organizations. I've spearheaded complex cloud migrations, infrastructure optimizations, and multi-cloud solutions, consistently aligning technology initiatives with business goals to enhance organizational agility and resilience. My technical expertise spans AWS, Azure, Google Cloud, and an array of DevOps tools such as Terraform, Kubernetes, and CI/CD pipelines. I excel in team leadership, technical documentation, and solution architecture, frequently acting as a trusted advisor and mentor in cross-functional environments. My experience includes roles such as Principal DevOps Engineer, Solutions Architect, and Consulting Manager, where I've contributed to high-stakes projects in sectors like banking, enterprise IT, and telecom.
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Ready to hire your ideal Data Engineering 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 Data Engineering 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 Data Engineering 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 Data Engineering developers can help keep your website up-to-date.
To hire a Data Engineering 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 Data Engineering developers effectively and efficiently. Hire full-time Data Engineering 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 Data Engineering 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 Data Engineering 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 Data Engineering developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data Engineering 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 Data Engineering 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 Data Engineering developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Engineering developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Engineering developers.
Some factors to consider when you hire Data Engineering 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 Data Engineering developers for hire.
Writing a good Data Engineering developer job description is crucial in helping you hire Data Engineering 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 Data Engineering 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 Data Engineering developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Data Engineering 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 Data Engineering 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 Data Engineering developers to keep up with evolving technology and requirements.
You can find a variety of Data Engineering developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data Engineering developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Engineering 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 Data Engineering 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 Data Engineering developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Data Engineering developers.
Every Data Engineering 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 Data Engineering 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 Data Engineering 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 Data Engineering 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 Data Engineering developers, you can rest assured that all remote Data Engineering 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 Data Engineering developers before we present them to you. As such, all the remote Data Engineering 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 Data Engineering developer in 72 hours, or find a full-time Data Engineering 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 Data Engineering developers.
Depending on the freelance developer job board you use, freelance remote Data Engineering developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Engineering 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 Data Engineering 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 Data Engineering 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 Data Engineering developers, check out our FAQs page.