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Data Quality developer in Canada (UTC-5)
Data specialist with over 5 years of experience in software development, data engineering and analysis. Proficient in statistical analysis, data visualization and report generation. Adept at utilizing tools such as SQL and Tableau to interpret complex datasets and provide actionable insights to cross-functional teams. Committed to enhancing operational efficiency and improving data quality.
Data Quality developer in Canada (UTC-4)
With over 6 years of experience in data analytics, I bring a strong foundation in statistics, data modeling, and visualization, leveraging Python, R, and SQL to drive business decisions through advanced analysis. My expertise spans tools like Power BI, Tableau, and Excel, with a proven ability to deliver impactful presentations. I am dedicated to using data to uncover insights and streamline processes, skilled in data preparation, profiling, and lineage. My experience covers the entire data science lifecycle, from cleaning and processing data to building models and implementing ETL pipelines on platforms like Azure, AWS, and GCP. I have successfully collaborated with cross-functional teams across various domains, including retail, banking, insurance, and healthcare, to align technical solutions with business goals. My work in revenue forecasting, planning, and quantitative analysis using Snowflake SQL and Looker has supported executive decision-making and driven business outcomes. With a strong analytical mindset and effective communication skills, I excel in translating complex data into actionable insights. I have mentored fellow analysts and fostered a collaborative team environment, contributing to the growth and success of my teams. My commitment to advancing expertise in machine learning, AI, and business process modeling is complemented by my experience in SCRUM agile methodologies and the full SDLC. I am proficient in the MS Office Suite, including advanced Excel, Visio, and Miro, and have a track record of delivering valuable insights through KPI analysis, data modeling, and user acceptance testing. My work in creating technical documentation, user guides, and training materials has further supported business success and innovation.
Data Quality developer in Canada (UTC-7)
Results-driven data professional with a strong foundation in mathematics, and a proven ability to create compelling data visualizations that effectively communicate insights and drive decision making. Proven ability to perform complex data transformations that maximize efficiency with a commitment to automation through master data governance and process implementation. Utilize analytical skills to create actionable narratives that cultivate data driven strategies in line with organizational objectives. Actively seeking opportunities to apply and continually improve my skills in working with data to provide actionable insights.
Vetted Data Quality developer in Canada (UTC-5)
I'm a data analyst with 5+ years of experience using technologies such as DAX, Python, Microsoft Power BI, Excel. I created analytic reporting solutions for several cross-functional teams, most recently I created a risk based testing report with reduced testing time by 17% so effort could be invested elsewhere. I've worked in manufacuring, gaming & e-commerce.
Vetted Data Quality developer in Canada (UTC-5)
Hacker, tinkerer, curious and always up for exploring and learning new things. I thrive in solving problems, and building systems while keeping up with the highest standard thereof. I have quite some milage in backend software development and data engineering. And I often wear as many hats as necessary to do the job. **Skills:** Python, Scala, Rust, Golang, Java, Bash, SQL, NoSQL, Vertica, ScyllaDB, MongoDB, Teradata, Apache Druid, Kafka, Hadoop, Apache Spark, Apache Beam, Amazon Web Services, Google Cloud Platform, Grafana, Prometheus, Datadog, Emacs, Vi, Intellij, Git, Mercurial, Github Actions, CircleCI, Linux, FreeBSD
Vetted Data Quality developer in Canada (UTC-4)
I am a full-stack engineer and leader with 7+ years of experience building iOS and web apps from scratch using multiple technologies. In addition to working for Microsoft and Royal Bank of Canada (RBC), I co-founded a start-up, developed a suite of cross-platform process automation apps used by manufacturing enterprises across the globe, and generated $500,000+ in less than two years. My industry experience is backed by a master's degree in computer science.
Vetted Data Quality developer in Canada (UTC-4)
12+ years of development experience. Primary focus is on distributed systems, micro services architecture and cloud native technologies. Strong background in Java and solid understanding of SDLC process. Competent with relational databases and NoSQL storage engines. Quick learner, team player, striving to build long-lasting and robust applications, making use of the best advances in the software engineering domain. **Strong:** Java, Kotlin **Competent**: SQL, JavaScript, Python, Swift **Technologies**: Spring Boot, Hibernate, Jersey, Relational databases (Oracle, MySql), Docker, Kubernetes, OCI (Oracle Cloud), NoSQL (Kafka, Redis, Cassandra)
Vetted Data Quality developer in Canada (UTC-5)
Data Scientist with professional experience building, training, and testing production-grade machine learning models for AI applications. Proficient in Python. Hands-on skills at developing AI applications and deploying machine learning models in Docker. Master of Science degree in Mechanical Engineering. Extensive experience designing HVAC systems that reduce energy use and costs in buildings.
Vetted Data Quality developer in Canada (UTC-5)
I have over 15 years of experience in data conversion, including 4 end-to-end implementations in S4HANA. I have played pivotal roles in data cleansing and conversion for organizations such as Liberty Utilities, the City of Kitchener, Tata Power, and NDPL, working extensively with ETL tools and creating effective strategies. In addition to my expertise in data conversion, I have also taken on roles in EAM, MM, and ISU device management, contributing to my 23 years of total experience. This functional knowledge gives me an added advantage and a deeper understanding of business processes. The tools I’ve used in my data roles include Syniti, Migration Cockpit, BODS, SLT, SDI, Emigall, and Information Steward.
Vetted Data Quality developer in Canada (UTC-5)
I am a software engineer with 9 years of experience in translating client requirements into end-to-end machine learning systems. Skilled in problem-solving, data modeling, and various technologies including Python, Scala, and Git.
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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 Quality 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 Quality 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 Quality developers can help keep your website up-to-date.
To hire a Data Quality 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 Quality developers effectively and efficiently. Hire full-time Data Quality 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 Quality 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 Quality 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 Quality developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data Quality 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 Quality 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 Quality developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Quality developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Quality developers.
Some factors to consider when you hire Data Quality 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 Quality developers for hire.
Writing a good Data Quality developer job description is crucial in helping you hire Data Quality 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 Quality 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 Quality developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Data Quality 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 Quality 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 Quality developers to keep up with evolving technology and requirements.
You can find a variety of Data Quality 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 Quality developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Quality 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 Quality 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 Quality 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 Quality developers.
Every Data Quality 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 Quality 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 Quality 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 Quality 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 Quality developers, you can rest assured that all remote Data Quality 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 Quality developers before we present them to you. As such, all the remote Data Quality 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 Quality developer in 72 hours, or find a full-time Data Quality 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 Quality developers.
Depending on the freelance developer job board you use, freelance remote Data Quality developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Quality 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 Quality 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 Quality 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 Quality developers, check out our FAQs page.