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Vetted Azure Stream Analytics developer in Colombia (UTC-5)
I am passionate about technological challenges and projects with multidisciplinary teams that involve the usage of data to develop and deploy solutions that optimize decision-making for organizations and people. During 4 years working as Data Engineer, I had the opportunity to lead teams to built data products as batch ETL/ELT data pipelines for data lakes and data warehouses, creating data models to provide valuable, clean and consumable information, deploying machine learning models to be consumed through APIs served in serverless cloud functions and implementing infrastructure as code to automate pipelines deployment, using CI/CD practices through Github Actions, setting monitoring and alerting to seek continuous and incremental improvement.
Vetted Azure Stream Analytics developer in Colombia (UTC-5)
Statistician and Systems Technician with 12 years of experience, initially in systems and later in analytics. Standing out not only in the capacity of data engineer, data analysis, ML modeling, and discussion of mathematical and/or statistical methods but also in the structural understanding of databases and advanced programming. These skills gave rise to providing an integral vision of the whole phenomena under investigation.
Vetted Azure Stream Analytics developer in Colombia (UTC-5)
Experienced Big Data and Analytics Solutions Engineer I have more than 15 years of experience in software development, where the last 9 years of them, I have been working on Big Data and Analytics solutions, including traditional Analytic Warehouse solutions like Teradata, up to cloud Data Warehousing technologies such as Redshift, Massive parallel processing with Apache Spark, Machine Learning implementations with Sklearn and spark MLlib, and so on. In regard to my academic background, I have been focused on software and big data, therefore you will see the Systems Engineer bachelor’s degree, and a postgraduate specialization in Data mining and Knowledge Discovery, and also I have accomplished multiple certifications, more recent are Data analytics, and Machine learning in AWS, finally complement my technical knowledge with business management achieving an MBA with honors from Grenoble Ecole of Management.
Vetted Azure Stream Analytics developer in Colombia (UTC-5)
I am a highly skillеd Tеchnical poject and product manager, tech Lеad and Architеct with ovеr 10 yеars of еxpеriеncе in softwarе еnginееring and businеss application dеvеlopmеnt. I havе spеcializеd in hеadlеss е-commеrcе with an еxtеnsivе еxpеrtisе in OCAPI/SCAPI and a strong background in SFCC/SFRA. My еxpеriеncе includеs managing of full softwarе dеvеlopmеnt lifе cyclеs, implеmеnting architеcturе concеpts for IT systеms, and dirеcting tеchnical projеcts from start to еnd. I havе a provеn track rеcord of lеading succеssful projеcts for multi-sitе, multi-languagе, multi-currеncy brands, rеsulting in incrеasеd rеliability, pеrformancе, and significant salеs ratio incrеasеs of about 20% to 80%. My passion for dеlivеring еxcеptional sеrvicе has lеd to crеating a win-win scеnario for all stakеholdеrs involvеd. I am a fast lеarnеr with a sеlf drivеn purposе to еxpand my knowlеdgе and tacklе nеw challеngеs all thе timе, I sее еvеry challеngе as an opportunity to lеarn nеw things. I bring innovativе idеas and a commitmеnt to always dеlivеring my bеst work, My intеrеsts liе in е-commеrcе, spеcifically B2B, B2C, and B2B2C, and I sее thе potеntial for using AI, data analytics, and blockchain to drivе futurе succеss. I havе succеssfully implеmеntеd and intеgratеd AI and othеr Machinе Lеarning stratеgiеs into thе workflow to еnhancе productivity, automation and pеrformancе, data is thе kеy factor of succеss and I can hеlp my cliеnts improvе thеir analytics and data collеction to concеntratе in thе kеy factors for rеvеnuе and growth.
Azure Stream Analytics developer in Colombia (UTC-5)
As a professional data engineer with over ten years of experience in data analytics, I specialize in collecting, processing, and storing big data. I also have expertise in data visualization, which supports business decision-making through advanced analytics. My skillset includes modeling and implementing supervised and unsupervised algorithms for machine learning projects. Throughout my career, I have held various roles such as Business Intelligence developer, BI area leader, and Manager of Data Analytics department and freelancer. Currently, I work as a Data Cloud Engineer. These experiences have strengthened my capabilities for analyzing and solving complex business problems using advanced data analysis. I thrive on taking on new challenges that allow me to propose innovative solutions with high-quality standards.
Azure Stream Analytics developer in Colombia (UTC-5)
Especialista en analítica de datos aplicada a los negocios, apasionado por descubrir patrones y tendencias en los datos para ayudar a las empresas a tomar decisiones informadas. Con enfoque proactivo e innovador que permite diseñar e implementar soluciones en equipo para resolver problemas de manera efectiva. Mi habilidad para comunicar de manera clara y concisa los resultados de los análisis mediante herramientas de visualización, permite una comprensión fácil y rápida para la toma de decisiones. Me caracterizo por ser una persona curiosa, siempre en la búsqueda de nuevos retos y desafíos, es por eso que de forma autodidacta he iniciado mi recorrido en el aprendizaje de la Ciencia de Datos.
Azure Stream Analytics developer in Colombia (UTC-5)
Software engineer with over 6+ years of experience in Scala, as a seasoned Software Developer, I bring a wealth of experience in crafting and deploying robust systems within the Insurance sector. My proficiency in Agile methodologies ensures that I deliver efficient and adaptive solutions to meet the dynamic needs of the industry. With a strong background in functional programming, particularly in Scala, I am well-equipped to tackle complex challenges. My skill set is further enhanced by my adeptness in leveraging a diverse array of tools and technologies, positioning me as a valuable asset to any team seeking to innovate and excel in the digital landscape.
Azure Stream Analytics developer in Colombia (UTC-5)
\- Software Engineer over 6+ years experience. I have been working on projects which by now keep going in production. \- Started on technical support. Then, I was changing projects. Nevertheless, I still being Software Developer so far. \- Interested in Machine Learning and Node
Vetted Azure Stream Analytics developer in Colombia (UTC-5)
Experienced full-stack software engineer with over 7 years in engineering, including 5+ years in software development, focused on JavaScript-related technologies. Skilled in building scalable applications and leading IoT projects, with a strong ability to manage both backend and front-end development. An effective team collaborator known for excelling in high-pressure, fast-paced environments. Adept at improving deployment processes and delivering efficient solutions across diverse sectors. Passionate about solving technical challenges and driving system improvements.
Vetted Azure Stream Analytics developer in Colombia (UTC-5)
I’m a Software Engineer looking for a FullStack role (front focused). I hold a BS degree in computer science and a graduate degree in software development. I can manage to work 100% remotely on team-based projects or self-managed. Experience in agile methodologies (Scrum, SAFe).
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Ready to hire your ideal Azure Stream Analytics 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 Azure Stream Analytics 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 an Azure Stream Analytics 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 Azure Stream Analytics developers can help keep your website up-to-date.
To hire an Azure Stream Analytics 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 Azure Stream Analytics developers effectively and efficiently. Hire full-time Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics developers, consider niche platforms like Arc that naturally attract and carefully vet their Azure Stream Analytics developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Azure Stream Analytics developers.
Some factors to consider when you hire Azure Stream Analytics 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 Azure Stream Analytics developers for hire.
Writing a good Azure Stream Analytics developer job description is crucial in helping you hire Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics developers to keep up with evolving technology and requirements.
You can find a variety of Azure Stream Analytics developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Azure Stream Analytics developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Azure Stream Analytics developers.
Every Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics developers, you can rest assured that all remote Azure Stream Analytics 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 Azure Stream Analytics developers before we present them to you. As such, all the remote Azure Stream Analytics 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 Azure Stream Analytics developer in 72 hours, or find a full-time Azure Stream Analytics 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 Azure Stream Analytics developers.
Depending on the freelance developer job board you use, freelance remote Azure Stream Analytics developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics 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 Azure Stream Analytics developers, check out our FAQs page.