Your trusted source for top remote Azure Data Factory developers — Perfect for startups and enterprises.
Freelance contractors Full-time roles Global teams
Azure Data Factory developer in Australia (UTC+11)
A dynamic and ambitious Senior Data & Analytical Consultant with 16+ years of experience in implementing and leading various Data Platform projects efforts from requirement gathering to its implementation in financial services, Investment Banking, Education, Insurance, Personal care, Pharmaceutical and Hospitality services domains using various tools like Microsoft BI Stack, Azure Stack, Snowflake, DBT & Power BI etc.,
Azure Data Factory developer in Australia (UTC+11)
A skilled professional offering over 20+ years of experience in driving innovative concepts and expanding horizons through future based strategies and technological advancements, covering Key Industry Verticals – Energy & Utilities, Mining, EPC, Transport. Globally savvy, highly motivated, skilled communicator with a strong analytical background, consistently highly rated in the organization. Adaptable leader and exceptional team player, utilizing collaborative approach in work to manage global projects.
Azure Data Factory developer in Australia (UTC+10)
Experienced Cloud DevOps Engineer with a passion for designing, implementing, and optimising robust cloud solutions. Proficient in Amazon Web Services (AWS) and Azure Kubernetes Service (AKS), I specialise in orchestrating containerized applications using Kubernetes, automating infrastructure deployment with Terraform, and ensuring seamless operations with Ansible. My strong background in Python programming allows me to create custom tools and scripts to enhance automation and streamline workflows. With a keen eye for scalability, security, and performance, I'm dedicated to creating and managing cloud infrastructures that empower businesses to achieve their goals efficiently and reliably.
Azure Data Factory developer in Australia (UTC+11)
Data Engineer with over ten years of expertise implementing data lakes, integration and warehousing solutions. In addition to data engineering work with Cognizant and wireless with NBN Co, Kiran has enterprise experience in financial services from MetLife, ING Group, and Bank of America. He is highly motivated when challenges are thrown at him, as they bring out his best! Kiran loves to program and use logical thinking to solve complex problems efficiently.
Vetted Azure Data Factory developer in Australia (UTC+11)
Detail-oriented master in Computer Science, experienced in the complete life cycle of projects ranging from hardware, firmware and software development. A dynamic and fast-learner professional, eager to bring efficient, innovative, and reliable solutions to every project.
Vetted Azure Data Factory developer in Australia (UTC+8)
Experienced full-stack developer, building and maintaining web applications ranging from enterprise applications to eCommerce sites. Worked on projects with tech stack of Python, Django, Flask, C#, .NET and .NET Core, PostgreSQL, SQL Server, MySQL, and Javascript, React, Vue. Enjoy working with development teams and consider clear communication as the key to success.
Vetted Azure Data Factory developer in Australia (UTC+11)
As data is the engine of every business, I took my data science course and loved to interpret the data, exploit the information from it and apply various machine learning algorithms and predict the future results. I am motivated, fascinated in understanding the meaningful insights of data and actively seeking for the full-time opportunities in the data science stream and always owed with “Can Do Spirit”. **TECHNICAL SKILLS Programming Languages:** Python (Pandas, NumPy, Matplotlib, Sklearn, OpenCV, PIL), R, Pyspark, C, Java, node.js Data Science: Data Wrangling, Data Modelling, Data Visualization, Applied Data Analysis, Agile Methodology Machine Learning Algorithms: Classification, Clustering, Regression, Association Rules and Collaborative Filtering Web Technologies: HTML, Java Script, CSS, Bootstrap, WordPress Databases: SQL, Postgre SQL, Oracle, MongoDB Tools: CUTE (Component Under Test Explorer), Tableau, Power BI, ETL (AlteryX) Operating Systems: Windows, Linux(Ubuntu), Unix Management Tools: Microsoft Office, Integrity, Kubernetes, Docker, Git (For repositories), Stack, Jira, Confluence Cloud Services: Amazon Web Services (AWS), Azure (Kubernetes), DevOps In order to know some meaningful insights of data, how the data is revolving around the whole world and how it has impacted on the people is what made me keen to do my masters in "Data Science" at "Monash University". When I was doing this course, my passion for data science has grown still to a greater extent when my professor started to teach how based on the information gain, entropy "Decision Trees" algorithm has been designed and also through "Associative Learning" algorithms. How every activity associated with **machine learning (or) artificial intelligence i**s being related to one hidden accurate, appropriate algorithm inside it, made my learning and practical interlinking of my course subjects to the real-time world in a better way. 💡Deep understanding of network protocols (TCP/IP, UDP, DNS, DHCP, SDN), Troubleshooting. 💡Programming Languages: Python (Pandas, NumPy, Matplotlib, Sklearn, OpenCV, PIL), R, Pyspark, C, Ada95, node.js 💡Data Science: Data Wrangling, Data Modelling, Data Visualization, Applied Data Analysis, Agile Methodology 💡Machine Learning Algorithms: Classification, Clustering, Regression, Association Rules and Collaborative Filtering 💡Web Technologies: Apache Tomcat, HTML, Java Script, CSS, Bootstrap, WordPress 💡Databases: SQL, Oracle, MongoDB 💡Tools: CUTE (Component Under Test Explorer), Tableau, Power BI, ETL 💡Operating Systems: Windows, Linux(Ubuntu), Unix 💡Management Tools: Microsoft Office, Integrity, Kubernetes, Docker 💡Cloud Services: Amazon Web Services (AWS), Azure
Azure Data Factory developer in Australia (UTC+10)
I am an experienced Business Analyst and Software Engineer with over 10 years of expertise in identifying customer needs and developing software solutions using agile software development and SCRUM methodology. My research interests and domain expertise lie in the field of investment and financial markets. Moreover, I have the added experience of teaching at a university while working in the industry.
Azure Data Factory developer in Australia (UTC+11)
As a Lead Marketing Data Scientist at Appliances Online (a division of Winning Group), I am constantly seeking new and innovative ways to drive business growth through data-driven insights. With over ten years of international experience in data science and analytics, I have honed my expertise in cloud computing, machine learning, big data analytics, and business intelligence. Throughout my career, I have worked as a liaison between business units and technology teams, leveraging my strong communication and collaboration skills to effectively lead consulting initiatives. I am passionate about the potential of predictive analytics and cloud computing to provide scalable insights and have developed strong skill sets in data modeling, data visualization, and data science. I am particularly excited about the possibilities of scaling up data science and analytics projects in the cloud, leveraging Linux/Ubuntu servers in virtual machines to enable end-to-end ML deployment processes. Looking ahead, I see myself at the forefront of data-driven marketing management consulting. Academically, I hold a Bachelor's degree in Electronics Engineering and a postgraduate degree in Information Technology & Strategic Marketing from the University of Technology, Sydney, where I was recognized as an Outstanding International Student Award Holder in both 2014 and 2015. In addition to my professional work, I am an active blogger on Medium, Towards Data Science, Analytics Vidhya, and The Startup. Outside of work, I enjoy traveling, soccer, skydiving, and exploring topics related to metaphysics. As an Australian citizen with an Indian lineage, I am authorized to work full-time in Australia, New Zealand, India, and the US on an E3 visa. If you'd like to learn more about my experience or discuss potential collaboration opportunities, feel free to check out my portfolio on GitHub or reach out to me directly at +61-434221939. Cheers Sree
Azure Data Factory developer in Australia (UTC+11)
Experienced DevOps Engineer and PhD graduate, working with teams worldwide and providing AWS cloud solutions. Adept at leading infrastructure optimisation, automation, and continuous integration/continuous deployment (CI/CD) initiatives, data engineering, blockchain applications and IoT. AWS and Kubernetes Certified with data development experience in cloud and on-premises systems. Seeking to leverage my expertise to drive efficiency, reliability, and scalability in cloud-based environments.
Meet Azure Data Factory developers who are fully vetted for domain expertise and English fluency.
Stop reviewing 100s of resumes. View Azure Data Factory developers instantly with HireAI.
Get access to 450,000 talent in 190 countries, saving up to 58% vs traditional hiring.
Feel confident hiring Azure Data Factory developers with hands-on help from our team of expert recruiters.
Share with us your goals, budget, job details, and location preferences.
Connect directly with your best matches, fully vetted and highly responsive.
Decide who to hire, and we'll take care of the rest. Enjoy peace of mind with secure freelancer payments and compliant global hires via trusted EOR partners.
Ready to hire your ideal Azure Data Factory 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 Data Factory 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 Data Factory 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 Data Factory developers can help keep your website up-to-date.
To hire an Azure Data Factory 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 Data Factory developers effectively and efficiently. Hire full-time Azure Data Factory 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 Data Factory 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 Data Factory 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 Data Factory developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Azure Data Factory 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 Data Factory 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 Data Factory developers, consider niche platforms like Arc that naturally attract and carefully vet their Azure Data Factory developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Azure Data Factory developers.
Some factors to consider when you hire Azure Data Factory 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 Data Factory developers for hire.
Writing a good Azure Data Factory developer job description is crucial in helping you hire Azure Data Factory 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 Data Factory 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 Data Factory developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Azure Data Factory 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 Azure Data Factory 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 Data Factory developers to keep up with evolving technology and requirements.
You can find a variety of Azure Data Factory 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 Data Factory developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Azure Data Factory 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 Azure Data Factory 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 Data Factory 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 Data Factory developers.
Every Azure Data Factory 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 Data Factory 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 Data Factory 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 Data Factory 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 Data Factory developers, you can rest assured that all remote Azure Data Factory 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 Data Factory developers before we present them to you. As such, all the remote Azure Data Factory 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 Data Factory developer in 72 hours, or find a full-time Azure Data Factory 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 Data Factory developers.
Depending on the freelance developer job board you use, freelance remote Azure Data Factory developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Azure Data Factory 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 Data Factory 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 Azure Data Factory 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 Data Factory developers, check out our FAQs page.