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

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2,304 Remote Big Data SQL developers available to hire:

Big Data SQL developers in India - Yash R.
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Yash R.

Vetted Big Data SQL developer in India (UTC-7)

Laser focussed on quant research in derivatives market and training state-of-the-art AI models across the globe.

Big Data SQL developers developer - Yash R.'s portfolio image
Big Data SQL developers developer - Yash R.'s portfolio image
Big Data SQL developers in India - Chinmay M.
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Chinmay M.

Vetted Big Data SQL developer in India (UTC+6)

Application Developer in a wide variety of business applications. Particularly interested in server side technologies. Experienced in Java J2EE web application development including Content Management System (Alfresco), Portal Applications (Liferay and SharePoint). Experience in interfacing different business application using middleware servers (BizTalk, SSIS). Experience in Big Data Implementation using Spark, Scala, Hive, Hbase, and Pig. Experience in various domain like banking (credit card application), media & entertainment, Logistic and manufacturing. Specialties: Big Data Application implementation in Scala and spark using Horton works platform. Design and Implemented projects with data load up to 1 TB per hour with complex transformation.

Big Data SQL developers in India - Roshan C.
Roshan C.

Big Data SQL developer in India (UTC+6)

I am a competent and result-oriented data engineer with more than 4 years of experience. Worked on different languages, technologies, frameworks, and data-driven projects with a yes-can-do attitude. Understand the agile cycle and the gravity of delivering the product by taking ownership. Experience: Worked with different AWS cloud services to develop the most cost-effective and accurate data pipeline approach.

Big Data SQL developers in India - Gautham R.
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Gautham R.

Vetted Big Data SQL developer in India (UTC+6)

Results-driven professional with over 17 years of experience in MicroStrategy and Big Data project execution. Proven expertise in translating complex requirements into successful project outcomes, alongside a strong ability to design schema, reports, dashboards, and comprehensive solutions. Known for meticulous attention to detail, organizational skills, and a commitment to continuous improvement. Actively seeks opportunities to enhance team workflows and processes in fast-paced environments. Proficient in MicroStrategy Development, Data visualization, Architecture and Platform Administration. Completed MicroStrategy AI training.

Big Data SQL developers in India - Pulkit G.
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Pulkit G.

Vetted Big Data SQL developer in India (UTC+6)

Currently working as a Data Engineer, 5.4 years of experience in specializing Data Analysis and Machine Learning. Experienced with all stages of Data Cleaning, preparation along with data visualization. Experienced in Apache Airflow with writing processes in python for data orchestration. Strong background in Python, Regular Expression, Web-scraping, Numpy, Pandas, Matplotlib, T-SQL and PySpark. I have also certified in Aws machine learning and GCP professional data engineer.

Big Data SQL developers in India - Mohammad S.
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Mohammad S.

Vetted Big Data SQL developer in India (UTC+6)

Experienced Software Engineer with a demonstrated history of working in the internet industry. Skilled in Java, NoSQL, SQL, Quartz, and Spring Framework, AWS Technologies. Strong engineering professional with a Bachelor of Technology (B.Tech.) focused on Computer Science & Engineering from Bundelkhand Institute of Engineering and Technology. Apart from teamwork, have been involved in reviewing threat model suggesting mitigations for different teams.

Big Data SQL developers in India - Sanni H.
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Sanni H.

Vetted Big Data SQL developer in India (UTC+1)

Sanni is a professional with 7 years of data engineering and analytics experience in media, cloud communications, financial technology, and health care. He's great at helping companies create data collection and processing tools for high volume, velocity, veracity and variety. Sanni's expertise includes designing and building scalable, fault-tolerant products, such as data platform and ingestion frameworks, self-serve analytics and reporting systems, data lakes, and data warehouses on-premises or in the AWS ecosystem. He delivers low latency data processing systems and is skilled at system design, data modeling, ETL, stream processing, and product analytics. Heruwala is capable of building data processing systems using diverse components, including Spark, HDFS, S3, Lambda, Hive, DynamoDB, and Redis. Sanni capably defines analytics charters and helps organizations move towards data-driven decision making.

Big Data SQL developers in India - pranav V.
pranav V.

Big Data SQL developer in India (UTC-8)

IT Data & Security Engineer with a proven track record of identifying and mitigating security risks, conducting data analytics, and implementing secure strategies across teams to protect and maintain an organization's database. Skilled with 5+ years of experience in Data Science and Security. Strong analytical and problem-solving skills, with the ability to communicate effectively with both technical and non-technical personnel. Seeking challenging projects in Data science/analyst where I can be an essential asset in business analysis for the Company.

Big Data SQL developers in India - Rohit S.
Rohit S.

Big Data SQL developer in India (UTC-8)

Results-driven IT professional with 5 years of experience in Application Development and Big Data Hadoop. Proficient in Hive, Sqoop, Spark, and Scala with a solid understanding of Airflow and Talend. Skilled Azure Data Engineer specializing in Azure Data Factory and Azure Databricks. Strong analytical skills with excellent communication and teamwork abilities. Adept at learning new technologies and concepts with enthusiasm and dedication. Experience in ELK and various development IDEs.

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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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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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Arc helps you build your team with our network of full-time and freelance Big Data SQL developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.

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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