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Remote Big Data SQL Developers
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757 Remote Big Data SQL developers available to hire:

Big Data SQL developers in Canada - Clifford P.
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Clifford P.

Vetted Big Data SQL 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.

Big Data SQL developers in Canada - Jatin M.
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Jatin M.

Vetted Big Data SQL developer in Canada (UTC-4)

I enjoy designing, building and deploying Machine Learning solutions as an end to end scalable products. 🛰 I’ve built AI/ML capabilities from the ground up in organizations of all sizes on two continents, from Fortune 250 companies to early age startups. 🚩 I'm a Mentor and Advisor to various early stage AI startups. 👨‍🔬 I’ve spearheaded the development of high-performance, data-driven products across multiple industries, from real-time model training to AI agents powered by the latest advancements in Large Language Modes (LLMs). 🌍 𝕂𝕖𝕪 𝕀𝕟𝕟𝕠𝕧𝕒𝕥𝕚𝕠𝕟𝕤 & 𝔸𝕔𝕙𝕚𝕖𝕧𝕖𝕞𝕖𝕟𝕥𝕤: 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗦𝘁𝗼𝗿𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (Offline & Online) – U.S. Patent Filed 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 (DQM) – U.S. Patent Filed 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 for Text Generation – U.S. Patent Filed Gen𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, RAG, Vector DBs, Prompt Flows, LLMs, Function Calling 𝗡𝗲𝗮𝗿 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 Architecting 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗠𝗟𝗢𝗽𝘀 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 with millisec performance Trained numerous high-performance ML models across domains 𝕋𝕖𝕔𝕙𝕟𝕚𝕔𝕒𝕝 𝔼𝕩𝕡𝕖𝕣𝕥𝕚𝕤𝕖 & 𝕋𝕠𝕠𝕝𝕤 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 – Claude 3.5 Sonnet, Llama 3, GPT-4, Titan Text Embeddings v2 𝗔𝗜 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 – Azure AI Studio, Amazon Bedrock, LangChain, LangSmith, Llama Index, Hugging Face 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 – Python, CI/CD, AWS CDK, Serverless, API, Shell Scripting, JSON, YML 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 – Apache Spark, Hadoop, Airflow, Redshift, Oracle, Snowflake, Databricks 𝗔𝗪𝗦 – EMR, Sagemaker, Glue, DynamoDB, Aurora, Lambda, API Gateway, EC2, Fargate, ECS, ECR, Cloud Formation, Step Function, Events, Athena, S3, ALB 𝗚𝗖𝗣 – BigQuery, Cloud Functions, Google Vertex Platform, DataProc, Cloud Run 𝐖𝐞𝐛 - Streamlit, Flask, HTML, CSS, JavaScript 𝕄𝕒𝕔𝕙𝕚𝕟𝕖 𝕃𝕖𝕒𝕣𝕟𝕚𝕟𝕘 𝔻𝕠𝕞𝕒𝕚𝕟: ~ User Personalization (Recommendation/Matching) ~ Pricing ~ Chatbots (GenAI LLM Agents) ~ Customer CLTV, Retention & Segmentation ~ Fraud Detection (Anomoly) ~ Advanced Analytics

Big Data SQL developers in Canada - Meghana U.
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Meghana U.

Vetted Big Data SQL developer in Canada (UTC-4)

Data engineer/ETL Developer with over 4+ years of successful experience in Azure,AWS,SSIS. Recognized consistently for performance excellence and contributions to success. Strengths in Azure,SQL Server.

Big Data SQL developers in Canada - Ndriçim S.
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Ndriçim S.

Vetted Big Data SQL 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.

Big Data SQL developers in Canada - Geeta T.
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Geeta T.

Vetted Big Data SQL developer in Canada (UTC-5)

* Developed and optimized data pipelines and ETL processes using Azure Databricks and Python. * Designed scalable data solutions, improving data accuracy and reducing processing time by 30%. * Collaborated with clients to deliver customized data analytics and reporting solutions on time.

Big Data SQL developers in Canada - Abdel T.
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Abdel T.

Vetted Big Data SQL 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.

Big Data SQL developers in Canada - Subhadip M.
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Subhadip M.

Vetted Big Data SQL developer in Canada (UTC-5)

Specialist in GCP services. Experience in Data Engineering since 2010. Applied Data/machine learning engineer using python for the last few years. Understanding data and applying the ML algorithm to solve use cases include data preparation. Also expertise in making pipeline for data related projects. See more: **https://subhadip.ca**

Big Data SQL developers in Canada - Matthias E.
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Matthias E.

Vetted Big Data SQL developer in Canada (UTC-4)

Data Engineering professional with 10 years of extensive hands-on experience in delivering end to end Data Analytics solution across telecommunications, finance, and information technology industries. Analytical thinker, comfortable working across key functional business areas connecting disconnected facts and information to produce insights and accurate KPIs. Technical skills: Languages: Python, SQLite, Oracle SQL, PL/SQL, Teradata SQL, PostgreSQL, Jinja template Databases: Oracle, Teradata, Postgres, Snowflake, MySQL Tools: Anaconda, Jupyter, Spark, Informatica, dbt, Pentaho, Airflow, AWS SageMaker, AWS S3, Tensorflow, Keras, Spoon, Automate, TOAD for Oracle, FileZilla, Teradata SQL Assistant, Microsoft Excel (Vlookup & Pivot), Tableau, Tableau Prep, Domo, Asana, Crystal Report, SharePoint, Jira, Confluence, Slack

Big Data SQL developers in Canada - Abdul-Mumeen O.
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Abdul-Mumeen O.

Vetted Big Data SQL developer in Canada (UTC-4)

As an accomplished Fullstack Engineer, I excel in designing, developing, and implementing software solutions using modern end-to-end technologies. I am highly skilled in cloud-based development, containerization, and translating product requirements into efficient technical requirements. Throughout my career, I have consistently delivered high-quality products on time while demonstrating expertise in leading teams and mentoring junior developers. My strong communication and collaboration skills enable me to thrive in fast-paced environments and remain dedicated to continuous learning and growth. I am deeply passionate about delivering exceptional code and contributing to the success of my team and organization.

Big Data SQL developers in Canada - Yassine L.
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Yassine L.

Vetted Big Data SQL developer in Canada (UTC-4)

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

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Why clients hire Big Data SQL developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Arc Big Data SQL developers
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Arc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
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FAQs

Why hire a Big Data SQL 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 SQL 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 SQL developers can help keep your website up-to-date.

How do I hire Big Data SQL developers?

To hire a Big Data SQL 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 SQL developers effectively and efficiently. Hire full-time Big Data SQL 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 SQL 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 SQL 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 SQL developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Big Data SQL developers?

There are two types of platforms you can hire Big Data SQL 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 SQL 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 SQL developers, consider niche platforms like Arc that naturally attract and carefully vet their Big Data SQL developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Big Data SQL developers.

Some factors to consider when you hire Big Data SQL 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 SQL developers for hire.

How do I write a Big Data SQL developer job description?

Writing a good Big Data SQL developer job description is crucial in helping you hire Big Data SQL 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 SQL 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 SQL developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Big Data SQL developer?

The top five technical skills Big Data SQL 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 SQL 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 SQL developers to keep up with evolving technology and requirements.

What kinds of Big Data SQL developers are available for hire through Arc?

You can find a variety of Big Data SQL 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 SQL developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Big Data SQL 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 SQL 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 SQL developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Big Data SQL 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 SQL developers.

Every Big Data SQL 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 SQL 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 SQL developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Big Data SQL 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 SQL 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 SQL developers, you can rest assured that all remote Big Data SQL 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 SQL developers on Arc?

Arc pre-screens all of our remote Big Data SQL developers before we present them to you. As such, all the remote Big Data SQL 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 SQL developer in 72 hours, or find a full-time Big Data SQL 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 SQL developers.

How much does a freelance Big Data SQL developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Big Data SQL developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Big Data SQL 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 SQL 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 SQL 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 SQL 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 SQL developers, check out our FAQs page.

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