Your trusted source for top remote Spark optimization developers, engineers, expert programmers, freelancers, and consultants in Canada — Perfect for startups and enterprises.
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Spark optimization developer in Canada (UTC-5)
I am a Full Stack Application Developer with 16 years of experience in banking applications. Skilled in Angular, React, Java, Big Data, and Agile project management. Passionate about AI and Machine Learning.
Vetted Spark optimization developer in Canada (UTC-4)
Reliable and knowledgeable professional with a vast array of experience in many different front end and back end languages, CMS (WordPress, Shopify), Page building tools (Elementor Pro / WIX), databases and responsive frameworks. Ability to write responsive, optimized, SEO friendly and accessible front-end code, with a focus on creating interactive web experiences. Proficient with WordPress theme and plugin development and PHP programming, web application development, WordPress theme development and graphic design principles.
Vetted Spark optimization developer in Canada (UTC-3)
I am a software developer with experience in full-stack development. I have worked on various projects including a notes application, WordPress speed optimization, client price calculators, and a stock tracking application. I have also designed a file deduplication and error correction system for resilient long-term storage. In addition to my technical skills, I have experience in technical support and have received awards for my expertise in JSON, HTML5, JavaScript, and networking.
Vetted Spark optimization developer in Canada (UTC-4)
Data engineer | Machine Learning Engineer | Software engineer with proven record of 10 years in building data strategy and delivering ML/AI and data solutions
Vetted Spark optimization developer in Canada (UTC-5)
A highly motivated and hardworking individual, with over eight years of experience in ICT sector. Proven track record of success since the start as web developer up to big data engineer, seeking a further experience to sharpen my professionalism.
Vetted Spark optimization developer in Canada (UTC-4)
Highly motivated software developer with 20+ years of experience in the software industry, including 5+ years in data engineering and machine learning projects. Seeking for innovative and decision-making projects in intelligent data engineering and data analysis using software skills, mathematics background and ML expertise to help companies derive insights from their data at scale.
Vetted Spark optimization developer in Canada (UTC-4)
Strong verbal and written communication skills. Strong networking and collaboration skills Good control of stress and fast learning ability. Highly skilled in collecting business requirements and translating them to technical specifications Proven ability to deliver advanced analytics solutions with Databricks Experienced with CI/CD tools (Git, Azure DevOps, GitLab, GitHub) 9 years of experience dedicated to data engineering Databricks Certified Data Engineer Associate | Microsoft Certified Data Engineer Associate. Professional in building and deploying Distributed Machine Learning / Deep Learning models. Proficient in Hyperparameter tuning 4 years of experience dedicated to data science and Machine Learning, Data Science Micro Master’s Degree from University of California-San Diego ([edX.org](http://edx.org/)). Databricks Certified Machine Learning Associate Provided consultations for a range of sectors, including government, manufacturing, energy, and transportation. Excellent coaching / training skills for junior team members. Agile Software Development. Proactive self-learner, continuously prepared to embrace new challenges like Generative AI.
Vetted Spark optimization developer in Canada (UTC-4)
Over 6+ years of experience in Data Engineering, Data Pipeline Design, Development and Implementation as a Sr. Data Engineer and Data Developer. • Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. • Strong experience in writing scripts using Python API, PySpark API and Spark API for analyzing the data. • Experience with Azure Cloud, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical Service, Big Data Technologies (Apache Spark) • Experience with GCP Cloud Storage, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud Pub/Sub • Worked on ETL Migration services by creating and deploying AWS Lambda functions to provide a serverless data pipeline that can be written to glue catalog and queried from Athena. • Extensively used Python Libraries PySpark, Pytest, Pymongo, PyExcel, Psycopg, embedPy, NumPy and Beautiful Soup. • Migrated an existing on-premises application to GCP. Used GCP services like Cloud Dataflow and Dataproc for small data sets processing and storage. • Hands On experience on Spark Core, Spark SQL, Spark Streaming and creating the Data Frames handle in SPARK with Scala. • Experience in NoSQL databases and worked on table row key design and to load and retrieve data for real time data processing and performance improvements based on data access patterns. • Experience with Unix/Linux systems with scripting experience and building data pipelines. • Extensive experience in Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, and Map Reduce concepts. • Performed complex data analysis and provided critical reports to support various departments. • Expertise in development of various reports, dashboards using various PowerBI and Tableau Visualizations • Experience in building large scale highly available Web Applications. Working knowledge of web services and other integration patterns. • Experienced with version control systems like Git, GitHub, CVS, and SVN to keep the versions and configurations of the code organized. Efficiently facilitating task tracking and issue management using JIRA. • Good communication skills, work ethics and the ability to work in a team efficiently with good leadership skills. • Experience with continuous integration and automation using Jenkins. • Experience building docker image using accelerator and scanning images using various scanning techniques • Over 6+ years of experience in Data Engineering, Data Pipeline Design, Development and Implementation as a Sr. Data Engineer and Data Developer. • Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. • Strong experience in writing scripts using Python API, PySpark API and Spark API for analyzing the data. • Experience with Azure Cloud, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical Service, Big Data Technologies (Apache Spark) • Experience with GCP Cloud Storage, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud Pub/Sub • Worked on ETL Migration services by creating and deploying AWS Lambda functions to provide a serverless data pipeline that can be written to glue catalog and queried from Athena. • Extensively used Python Libraries PySpark, Pytest, Pymongo, PyExcel, Psycopg, embedPy, NumPy and Beautiful Soup. • Migrated an existing on-premises application to GCP. Used GCP services like Cloud Dataflow and Dataproc for small data sets processing and storage. • Hands On experience on Spark Core, Spark SQL, Spark Streaming and creating the Data Frames handle in SPARK with Scala. • Experience in NoSQL databases and worked on table row key design and to load and retrieve data for real time data processing and performance improvements based on data access patterns. • Experience with Unix/Linux systems with scripting experience and building data pipelines. • Extensive experience in Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, and Map Reduce concepts. • Performed complex data analysis and provided critical reports to support various departments. • Expertise in development of various reports, dashboards using various PowerBI and Tableau Visualizations • Experience in building large scale highly available Web Applications. Working knowledge of web services and other integration patterns. • Experienced with version control systems like Git, GitHub, CVS, and SVN to keep the versions and configurations of the code organized. Efficiently facilitating task tracking and issue management using JIRA. • Good communication skills, work ethics and the ability to work in a team efficiently with good leadership skills. • Experience with continuous integration and automation using Jenkins. • Experience building docker image using accelerator and scanning images using various scanning techniques
Vetted Spark optimization developer in Canada (UTC-7)
Results-driven Senior MLOps/DevOps Engineer with extensive experience in designing and scaling cloud infrastructures to support machine learning models. Achieved a 50% reduction in time-to-market through the integration of advanced MLOps practices and automation. Expert in Terraform, SageMaker, TensorFlow, Airflow, Kubeflow, and Kubernetes, driving efficiency across the ML lifecycle, from data ingestion and processing to model deployment. Optimized big data pipelines, improving system efficiency by 40%, while ensuring 99.999% uptime. Proven track record in enhancing deployment reliability by 60% through the implementation of CI/CD pipelines and monitoring systems. Skilled in collaborating with cross- functional teams to deliver impactful, business-driven solutions.
Vetted Spark optimization developer in Canada (UTC-7)
I'm a Machine Learning Engineer and I'm generally interested in building deep learning-based algorithms.
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Ready to hire your ideal Spark optimization 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 Spark optimization 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 Spark optimization 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 Spark optimization developers can help keep your website up-to-date.
To hire a Spark optimization 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 Spark optimization developers effectively and efficiently. Hire full-time Spark optimization 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 Spark optimization 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 Spark optimization 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 Spark optimization developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Spark optimization 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 Spark optimization 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 Spark optimization developers, consider niche platforms like Arc that naturally attract and carefully vet their Spark optimization developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Spark optimization developers.
Some factors to consider when you hire Spark optimization 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 Spark optimization developers for hire.
Writing a good Spark optimization developer job description is crucial in helping you hire Spark optimization 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 Spark optimization 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 Spark optimization developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Spark optimization 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 Spark optimization 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 Spark optimization developers to keep up with evolving technology and requirements.
You can find a variety of Spark optimization developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Spark optimization developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Spark optimization 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 Spark optimization 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 Spark optimization developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Spark optimization developers.
Every Spark optimization 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 Spark optimization 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 Spark optimization 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 Spark optimization 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 Spark optimization developers, you can rest assured that all remote Spark optimization 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 Spark optimization developers before we present them to you. As such, all the remote Spark optimization 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 Spark optimization developer in 72 hours, or find a full-time Spark optimization 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 Spark optimization developers.
Depending on the freelance developer job board you use, freelance remote Spark optimization developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Spark optimization 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 Spark optimization 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 Spark optimization 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 Spark optimization developers, check out our FAQs page.