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Vetted Big Data Architecture developer in the United States (UTC-7)
Strong technology leader with hands-on experience scaling ventures and scaling engineering functions in large fortune companies. I have a strong background in software design, backend programming, distirbuted systems, machine learning, model-training, AI Agent development, big data engineering, cloud computing, and I also pioneered test-driven DevOps.
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Vetted Big Data Architecture developer in the United States (UTC-4)
I am a seasoned Software Architecture professional with over 15 years of expertise in designing and implementing secure, cloudnative, and data-driven architectures. My technical expertise includes cloud-native architecture with a focus on DevOps, Kubernetes, event-driven systems, RESTful APIs, and GraphQL, as well as data architecture, encompassing data warehousing, data lakes, big data, IoT, data analytics, and data-intensive system integration. I am also skilled in advancing cloud cybersecurity to deliver robust and secure solutions. In addition to my technical background, I bring strong business acumen, with experience in marketing, sales, supply chain management, accounting, and finance. This unique blend of technical and business expertise allows me to design solutions that align with organizational objectives and drive business growth. I am also well-versed in Artificial Intelligence (AI), Machine Learning, and Data Science, leveraging these disciplines to create intelligent, scalable systems. As a critical problem solver, active listener, and technical leader, I excel in addressing complex challenges and thrive in creative environments that value innovation and collaboration.
Vetted Big Data Architecture developer in Pakistan (UTC+2)
* Bachelor’s degree in Computer Science with over 16 years of experience in software development, specializing in the analysis, design, and development of software applications. * Earned multiple certifications in AWS (Solutions Architect, Data Analytics, Database) and Databricks Spark. * Proficient in data modeling, data architecture, data warehousing, and business intelligence. * Expert in big data solutions on AWS and familiar with Azure data services including Data Lake, Data Factory, Databricks, and Synapse Analytics. * Extensive experience in ETL processes and data transfer technologies, with strong knowledge of both logical and physical database modeling methods. * Demonstrated project leadership, managing database management and ETL projects from concept to implementation. * Experienced in designing and developing data lake and big data solutions utilizing AWS (Redshift, Glue, DynamoDB) and Azure (Synapse Analytics, Data Factory). * Proficient in migrating data from on-premise environments to AWS, including Oracle and SQL Server to AWS EC2 and RDS (Aurora MySQL & PostgreSQL). * Strong adaptability and problem-solving skills, with experience working in Agile environments applying the Scrum methodology.
Vetted Big Data Architecture developer in Colombia (UTC-5)
● Software Engineer with more than 10 years of experience working with different methodologies and development technologies for diverse companies. Experience working on-site, from home and multi location teams using agile processes (kanban and scrum) with a small adventure in the Netherlands. Currently, looking for opportunities. Advanced English level written and spoken. ● Expert in the technical, conceptual and content development of enterprise applications in business, presentation and services layers during planning, analysis, implementation and testing project steps of software development life cycle. In the last few years, I have worked primarily on Java backend and cloud integration projects oriented to microservices. However, I have nice experience in front-end/fullstack areas as well and I can adapt very easily to work on any environments or any technologies. ● Experience in Java versions (7, 8, 9, 11, 14) and Java based languages like Scala, Groovy and Kotlin. Strong knowledge in Spring/SpringBoot (data, integration, beans, core, boot) and JavaEE (JPA, EJB, JSF, JSP, Rest, Servlet, JAX-WS, JAX-RS, Guice). Widely use of frameworks like Hibernate (annotations/xml), Kafka, Redis, ElasticSearch, Quartz, IReport, EHCache, Redis and some libraries for web development like Vaadin, PrimeFaces and RichFaces. ● Certified as AWS Developer with high experience in several services (S3, EC2, EMR, DynamoDB, Lambda Cloud Formation, RDS, AutoScaling, DNS, Athena and others) and great exposure to Google Cloud as well. ● Great knowledge and development in the front-end stack primarily with AngularJS, TypeScript, HTML, CSS, JavaScript, JSON, JQuery and a bit of ReactJS. Also, some interaction with Android java based development on some projects with features like push notification, maps, and APIs consuming. ● Skills related to integration, unit and automated tests in technologies like Junit, TestNG, Cucumber, JBehave, SoapUI, Mockito and Apache JMeter. Also, working with CI/CD processes with tools like Jenkins, Gitlab, Kibana and others. Experience working with Ruby and Groovy integration tests. ● Use of different SGBD providers: Oracle, MSSQL, PostgreSQL, DB2, Teradata, MySQL, HDBSQL and MongoDB NoSql database (Certified Developer). On the other hand, great expertise with PL/SQL and PL/pgSQL for procedures and functions maintenance.
Vetted Big Data Architecture developer in Colombia (UTC-5)
Seasoned Software Engineer with 20+ years of experience in Java and Golang development, now strategically incorporating Generative Artificial Intelligence solutions. Adept at applying agile methodologies throughout the SDLC to deliver robust software. Demonstrated team leadership, exceptional communication, and a commitment to continuous technical growth. Since June 2023, I took sabbatical year with the purpose of fully dedicating myself to various personal projects. During this period, I have also been studying the field of artificial intelligence in depth.
Vetted Big Data Architecture developer in Colombia (UTC-5)
Senior Software Developer with experience in JavaScript, SQL, and Python, each 10 years of experience. 20 years of experience in total. The company with whom I grew the most professionally is ADA SA, a small software shop from Medellín. Our client was the IDEAM, an equivalent to the weather and meteorology office in Colombia, and I had the immense pleasure to write all kinds of weather related applications, including predictive models. As I started as a senior developer, I went all the way to become the tech lead for this particular client, and of course I learned a lot during the four years with them (2007-2011), sometimes the hard way. Since I started my career in the early 2000s, I've almost always been the guy who writes the code, and when not, the one who receives the responsibility to either keep things working, or the team working. So I'm pretty sure all of the projects mentioned in my CV benefited hugely from my contributions, even those in which I didn't last or those that didn't meet success. Among my most successful ones, I'll just mention: * the three hugely successful projects I had with Indra, a giant Spanish company. In particular, the DANE project was a major milestone in my career: it was a software solution for the equivalent of the office of statistics and measurements, and allowed the company to win many other projects in Colombia. * [recreation.gov](http://recreation.gov/) gave me the opportunity to visit Buenos Aires and I wrote a huge range of map (GIS) related functionalities. An amazing project with an amazing variety of developers in many different areas. * the [dealertrack.com](http://dealertrack.com/) is an awesome project, and I became a developer for one of its main teams as they were writing the next version of their platform on the cloud. When talking about my strengths, I believe my coworkers would mention: * resilience, because I'm never discouraged by any outcome, but I keep working on improving things until all expectations are surpassed. * trust, because I gain the confidence of my teammates by obtaining results for the team, and by writing a code that inspires confidence, no tricks at all. * respect, because I know my limits and I always keep things professional, no matter what. My colleagues know how much I appreciate them, and that I'll never erupt over them nor even have the need to do so. * competence and value creation: nobody doubts I know what I'm talking about, and when not, they know I'll just ask.
Vetted Big Data Architecture developer in Colombia (UTC-5)
Software developer oriented to build efficient business solutions. Fully acknowledge in different technologies such as Java and C#. Experience with relational and non-relational databases. Conceptual clarity and project structuring skills. English proficiency and interest in professional update.
Remote Big Data Architecture developer in the United States (UTC-4)
• Professional Software Engineer with extensive experience in Restful Api, graphQL, java, kotlin, node microservices etc, and more backend • Strong experience with SQL and NoSQL databases including MongoDB and GraphQL. • Strong knowledge with BigData, Apache spark and Scala. • Experience Developing RESTful APIs using Java, Spring Boot for a web application with over 1 million users per month. • Proven ability to design, build, and maintain efficient and scalable systems. Passionate about developing maintainable code, using the latest technologies, and working in a collaborative environment. • Experience Building the infrastructure for CI/CD with Jenkins, Docker, Kubernetes. • Experienced in AWS(lambda, DynamoDB, SQS, EC2, EKS, Cloud Build) and GCP(GKE, GCP functions, etc)
Remote Big Data Architecture developer in France (UTC+2)
**20+ Years of extensive experince** I've been working in IT professionally since 2002. Most of My professional career is with design, setup, and DevOps of medium and high loaded web farms, NoSQL databases which are time-critical and require 24/7/365 uptime. During the last several years I've been concentrating on architecture and administration of Hadoop ecosystems, Big-Data systems (Cassandra, ElasticSearch, Riak ...) and distributed storage Ceph. I Have big experience working with a variety of web servers and load balancers (Apache, Nginx, HAProxy, Tomcat, Jetty, etc .. ) as well as with public cloud providers such as AWS, Azure, and GCP. I speak three languages, learning forth, have a Master’s in Yerevan State University. Doing opensource development on Rust and Python .
Remote Big Data Architecture developer in Nepal (UTC+6)
Result-driven Software Engineer with 8 years of experience in designing and implementing scalable, high-performance software solutions. Proficient in a wide range of technologies including Java, Go, Python, JavaScript, AWS, Snowflake, Docker, and more.
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FAQs
Why hire a Big Data Architecture 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 Architecture 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 Architecture developers can help keep your website up-to-date.
How do I hire Big Data Architecture developers?
To hire a Big Data Architecture 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 Architecture developers effectively and efficiently. Hire full-time Big Data Architecture 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 Architecture 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 Architecture 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 Architecture developers for your company, and let Arc handle the logistics.
Where do I hire the best remote Big Data Architecture developers?
There are two types of platforms you can hire Big Data Architecture 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 Architecture 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 Architecture developers, consider niche platforms like Arc that naturally attract and carefully vet their Big Data Architecture developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Big Data Architecture developers.
Some factors to consider when you hire Big Data Architecture 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 Architecture developers for hire.
How do I write a Big Data Architecture developer job description?
Writing a good Big Data Architecture developer job description is crucial in helping you hire Big Data Architecture 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 Architecture 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 Architecture developers, read our Engineer Job Description Guide & Templates.
What skills should I look for in a Big Data Architecture developer?
The top five technical skills Big Data Architecture 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 Big Data Architecture 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 Architecture developers to keep up with evolving technology and requirements.
What kinds of Big Data Architecture developers are available for hire through Arc?
You can find a variety of Big Data Architecture 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 Architecture developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Big Data Architecture 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 Big Data Architecture 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 Architecture developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Big Data Architecture 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 Architecture developers.
Every Big Data Architecture 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 Architecture 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 Architecture developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Big Data Architecture 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 Architecture 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 Architecture developers, you can rest assured that all remote Big Data Architecture 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 Architecture developers on Arc?
Arc pre-screens all of our remote Big Data Architecture developers before we present them to you. As such, all the remote Big Data Architecture 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 Architecture developer in 72 hours, or find a full-time Big Data Architecture 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 Architecture developers.
How much does a freelance Big Data Architecture developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Big Data Architecture developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Big Data Architecture 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 Architecture 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 Architecture developer?
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 Big Data Architecture 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 Architecture developers, check out our FAQs page.