Hire the Top 2% of
Remote Big Data SQL Developers
in Ukraine

Your trusted source for top remote Big Data SQL developers, engineers, expert programmers, freelancers, and consultants in Ukraine — Perfect for startups and enterprises.

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Top Big Data SQL developers and experts available to hire:

Big Data SQL architect - Greg K.
Greg K.

Big Data SQL developer in Ukraine (UTC+3)

Over 9 years of experience in Manual & Automated Testing for Software Quality Assurance. Setting up the QA process from scratch. Big Data & Data Quality. Team management and mentoring sills.

Big Data SQL • 5 yrsBig DataTest AutomationPythonpytestManual testingQuality Assurance SpecialistSeleniumApi testingDatabasePandasPostgreSQLGitHubJenkinsAlgorithmApache SparkRegression testingSlack APIFunctional TestingCloudJMeterJiraOperationsPerformance TestingAppiumSlackGrafanaInfluxDBSnowflakeAllureGitLabDocker
+25
Selenium, Api testing, Database, Pandas, PostgreSQL, GitHub, Jenkins, Algorithm, Apache Spark, Regression testing, Slack API, Functional Testing, Cloud, JMeter, Jira, Operations, Performance Testing, Appium, Slack, Grafana, InfluxDB, Snowflake, Allure, GitLab, Docker
Big Data SQL expert - Dinko V.
vetted-badge
Dinko V.

Vetted Big Data SQL developer in Ukraine (UTC+2)

I am a data scientist and data engineer with broad experience in the entire data value chain. I take best practices in software engineering very seriously and strive to write clean and easy to read and maintain code. My main interest and recent experience is in finance, but I'm ready to explore other industries where I can use and develop the skills and tools necessary to learn from data effectively.

SQL • 10 yrsData Engineering • 6 yrsPythonPostgreSQLAPIAirflowClickHouseApache KafkaNoSQLQuantitative TradingLinuxNumPyPandasDockerETLFinancial modelingQuantitative researcherAWSScikit-learnNeural NetworksSnowflakePyTorchApache AirflowAI
+17
Apache Kafka, NoSQL, Quantitative Trading, Linux, NumPy, Pandas, Docker, ETL, Financial modeling, Quantitative researcher, AWS, Scikit-learn, Neural Networks, Snowflake, PyTorch, Apache Airflow, AI
Big Data SQL developer - Bohdan H.
vetted-badge
Bohdan H.

Vetted Big Data SQL developer in Ukraine (UTC+2)

Talented Android Developer with over 7 years of software development experienceina broad range of industries, including sports entertainment, restaurant management, and banking. Solid understanding of full mobile and software development life cycles, UIX, mobile analytics, changing mobile standards, and Agile methodologies and designing, implementing, integrating, testing and supporting impactful applications developed in diverse, collaborative environments for mobile and tablet devices on theAndroidplatform. Dedicated to continuously developing, implementing, and adopting new technologies to maximizedevelopmentefficiencyandproduceinnovativeapplications.

SQLite • 7 yrsAndroid Data BindingAndroidKotlinJavaRetrofitRoomJetpack ComposeGitHubPayPalJenkinsJiraFirebaseStripeSocketRealmGraphQLCryptocurrencyTrelloDagger 2Web3Android ArchitectureAuthorize.NetBitriseGitHub Actions
+18
Jetpack Compose, GitHub, PayPal, Jenkins, Jira, Firebase, Stripe, Socket, Realm, GraphQL, Cryptocurrency, Trello, Dagger 2, Web3, Android Architecture, Authorize.Net, Bitrise, GitHub Actions
Big Data SQL architect - Viacheslav M.
Viacheslav M.

Big Data SQL developer in Ukraine (UTC+2)

Software engineer with 12+ years in .NET-oriented software development in the field of web application concepts and development in all stages of the software development life cycle, as well as in the field of technical management. I have been working on big projects with complex business logic utilizing a vast ecosystem of layers, microservices, databases, etc. Fluent in English. Have extensive experience in working with foreign customers in a team, leading the team, as well as working on my own, documenting and mentoring other developers. I am looking for a job role as Senior Software Engineer in a remote team. I am open for both backend or full-stack positions as well as technologies outside of my experience.

SQL • 10 yrsData EngineeringASP.NET.NETSystem designCloudJavaScriptSoftware architectureAngularPostgreSQLSOAPRabbitMQWCF REST.NET CoreASP.NET MVCRESTful APIAzure
+10
Software architecture, Angular, PostgreSQL, SOAP, RabbitMQ, WCF REST, .NET Core, ASP.NET MVC, RESTful API, Azure
Big Data SQL engineer - Dmytro B.
Dmytro B.

Big Data SQL developer in Ukraine (UTC+3)

Passionate full-stack developer with 12+ years of experience building and scaling web applications. Proven ability to deliver user-facing features and improve internal tooling in fast-paced, collaborative environments. Highly skilled in React.js, Ruby on Rails, and other essential technologies. Extensive experience supporting SaaS customers such as HelloFresh, Uber, [Booking.com](http://booking.com/), Just Eat Takeaway, and Trainline while working at Chattermill, focusing on authentication integrations like OpenID, SAML, and ADFS. Proficient in debugging customer issues using tools like Hotjar, enhancing user experience and satisfaction through effective problem-solving and analysis.

Big DataJavaScriptPostgreSQLRuby on RailsKubernetesReactTypeScriptPythonApache KafkaAuthenticationRubyAPIElasticsearchGrapeEmber.js
+8
Python, Apache Kafka, Authentication, Ruby, API, Elasticsearch, Grape, Ember.js
Big Data SQL engineer - Taras V.
Taras V.

Big Data SQL developer in Ukraine (UTC+3)

Software Developer with 5+ years of experience in international IT companies, specializing in web application development, backend services, and client-server solutions. Proven expertise in creating WEB APIs from scratch and developing microservices architecture. Strong communication, adaptability, and self-organization skills. Highly responsible, results-oriented, and adept at problem-solving. Committed to achieving business goals and skilled in research and investigation.

SQL • 3 yrsAzure Data FactoryASP.NET Core.NET CoreEntity FrameworkPostgreSQLHTML/CSSJavaScriptPrismaTypeScriptNode.jsReactEntity Framework CoreNext.js.NET FrameworkNestJSAzureWeb API 2Azure FunctionsASP.NET MVCDatabase Development
+14
JavaScript, Prisma, TypeScript, Node.js, React, Entity Framework Core, Next.js, .NET Framework, NestJS, Azure, Web API 2, Azure Functions, ASP.NET MVC, Database Development
Big Data SQL engineer - Anton K.
Anton K.

Big Data SQL developer in Ukraine (UTC+2)

Working with business applications supporting design and code reviews with a focus on user experience, performance, scalability and future expansion, Assisting in coding, testing and debugging new software or making enhancements to existing software. With the possibility of growth into a full stack ;)

SQL • 4 yrsSpring dataSpring BootJavaSpringAWSPostgreSQLAzureJUnitMaven 3DockerJava 8Spring JDBCSpring RESTProject lombokGradle
+9
Azure, JUnit, Maven 3, Docker, Java 8, Spring JDBC, Spring REST, Project lombok, Gradle
Big Data SQL developer - Nikita G.
Nikita G.

Big Data SQL developer in Ukraine (UTC+2)

working with different types of databases and visualization tools

SQL • 8 yrsCloud Data WarehouseMicrosoft SQL ServerBIPythonCronGoogle BigQueryETLTableau serverMySQLAPISSRSQlikViewSSISTroubleshootingMWSJD Edwards
+10
ETL, Tableau server, MySQL, API, SSRS, QlikView, SSIS, Troubleshooting, MWS, JD Edwards
Big Data SQL consultant - Pavlo P.
Pavlo P.

Big Data SQL developer in Ukraine (UTC+2)

Experienced Python Data Engineer with over 5 years in the field, specializing in a spectrum of tasks from database creation and optimization to crafting seamless ETL/ELT workflows. Proficient in a comprehensive tech stack, including AWS (Athena, ECS, Lambda, S3, RDS, SNS, SES, SQS), Python, Apache Airflow, PostgreSQL, and Terraform. A proven track record of successfully delivering projects, making pivotal contributions to database architecture, and orchestrating efficient data workflows. Ready to bring a wealth of expertise and innovation to your team, ensuring streamlined data processes and optimal performance. Let's elevate your data infrastructure to new heights! 🚀

SQL • 4 yrsData warehouse • 3 yrsData modeling • 2 yrsPythonAWSPostgreSQLApache AirflowWeb ScrapingTerraformAirflowRabbitMQETL
+5
Web Scraping, Terraform, Airflow, RabbitMQ, ETL
Big Data SQL consultant - Oleksandr M.
Oleksandr M.

Big Data SQL developer in Ukraine (UTC+2)

I have over 6 years of experience as a developer, specializing in integrations and data engineering. I have built REST APIs, back-end services, and integrations with 3rd party services. I have also contributed to improving test coverage and stability guarantees. Additionally, I have experience in migrating Python applications, implementing upgrades, and standardizing CI/CD tooling. I have mentored team members and have experience in breaking down monoliths into microservices. I have a Bachelor's degree in English and Japanese translation and a sub-Bachelor of Applied Science in Computer Science. My skills include Python, Google Cloud Platform, Rust, AWS, Terraform, Kubernetes, Docker, PostgreSQL, Google BigQuery, and JavaScript.

Startup experienceSQL • 5 yrsRustPythonKubernetesGoogle Cloud PlatformTerraformAWSPostgreSQLGoogle BigQueryGraphQL
+3
PostgreSQL, Google BigQuery, GraphQL

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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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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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