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Vetted Apache Spark developer in India (UTC+6)
Accomplished technology professional with 18+ years of experience specializing in machine learning research, end-to-end data science and AI engagements, business strategy, and building high-performing teams. Experienced in building transformational machine learning initiatives in multiple domains, including ad tech, automotive, manufacturing, telecom, banking, and retail. Proficient in leveraging large language models (LLMs) and Generative AI techniques to develop innovative solutions. Led R&D teams in developing novel, futuristic applications in computer vision, machine learning, and natural language processing.
Vetted Apache Spark developer in India (UTC+6)
Experienced Software Development Engineer with strong expertise in backend system architecture design for distributed systems. Good understanding and exposure to multiple architectural design patterns for designing scalable performant systems. Hands on experience with multiple AWS cloud services. Experienced Big Data Engineer for architecting and designing ETL pipelines for processing large data and delivering valuable insights. Optimizing Spark jobs for faster processing. Strong knowledge and hands on with Microservices with Dockers and Kubernetes.
Vetted Apache Spark developer in India (UTC+6)
A proactive and curious Senior Machine Learning Engineer with 7 years of expertise in crafting Artificial Intelligence (AI) products for multiple Fortune 500 companies, including Microsoft and Samsung. With a robust and versatile skill set anchored in programming languages, frameworks, and technologies like Python, Pandas, Amazon Web Services (AWS), Amazon S3, Kubernetes, and, Docker, he brings expertise in implementing end-to-end solutions, building, deploying, executing, maintaining, and optimizing production Machine Learning (ML) pipelines. Divyanshu is also versed in automating solutions and writing unit and integration tests. Combining his outstanding technical background with excellent interpersonal skills, he is valued for collaborative teamwork, leadership and communication capabilities, and a knack for problem-solving, effectively delivering top-notch solutions that exceed client expectations.
Vetted Apache Spark developer in India (UTC+6)
With 7 years of hands-on engineering experience, spearheaded the development of real-time ecommerce backend systems, enhancing user engagement through enterprise-grade solutions; resulted in 20k new orders/day & reduced CAC by 47% for new users. Led & executed tech charter of the ~ 25 backend services in the org by tech simplification resulted in saving ~1000 $ / month with improved MMTD/MMTR.
Vetted Apache Spark developer in India (UTC+6)
Data Scientist with 5 years of experience in developing AI/ML models, NLP applications, and data-driven solutions to meet business requirements. Expertise in designing predictive models, deploying machine learning systems, and improving model accuracy using Python, PySpark, and Azure. Proven ability to enhance process efficiency and customer satisfaction through innovative AI solutions and data analytics. Strong skills in Power BI, MS Azure, and deployment in production environments.
Vetted Apache Spark 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.
Vetted Apache Spark 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.
Vetted Apache Spark developer in India (UTC+6)
Data Scientist with 8+ years of experience in solving problem through data driven approaches. Having worked directly with client facing roles using ML techniques like Regression, Classification and clustering using Python, Pyspark and SQL across various projects. Self driven and motivated with requirement for pumping SME knowledge gets me going.
Vetted Apache Spark developer in India (UTC+6)
Software Engineer(Data) with 5+ years of work experience(Internships + Full Time) Developed ETL pipelines(S3 as data-lake and ClickHouse DB as data-warehouse) on AWS. Worked on Pyspark Batch and Stream data processing (Pyspark, Databricks) Maintained CI-CD pipeline(Docker, AWS Codecommit, ECR, Codebuilt for automatically deploying code to AWS Lambda and ECS service). Taken complete ownership for partial and complete blue-green features production releases. Have experience working on Python, Golang, SQL, PySpark, Databricks, ClickHouse, ElasticSearch, MySQL. Have worked on projects like: 1\. Creation of end-to-end workflows for Stock Trade Data streaming using Pyspark, Kafka, S3 bucket and Databricks. 2\. Building ETL pipelines utilizing S3 as Data lake, DynamoDB as primary source of data, transformation in Python and ClickHouse as Data warehouse. 3\. Worked on personal project to Build a B+Tree implementation of a SQLite based database in C language. 4\. Worked on personal project to build an HTTP server to handle million concurrent requests per minute in Golang utilizing go-routines and channels. 5\. Build a Python text assistant which helps to find any file on my computer based on fileName, and also moves files and folders from one location to another just by text command. It can also read csv and excel files and can add filters and aggregation on those files and produce new files based on text commands.
Vetted Apache Spark developer in India (UTC+6)
**A skilled and seasoned Software Engineer with 13 years of experience in developing robust and scalable** **software solutions. Proven track record of working with cross-functional teams, driving innovation, and** **delivering high-quality products. Passionate about leveraging cutting-edge technologies to solve complex** **challenges and drive business growth.**
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Ready to hire your ideal Apache Spark developers?
Get startedArc offers pre-vetted remote 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 Apache Spark 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 an Apache Spark 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 Apache Spark developers can help keep your website up-to-date.
To hire an Apache Spark 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 Apache Spark developers effectively and efficiently. Hire full-time Apache Spark 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 Apache Spark 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 Apache Spark 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 Apache Spark developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Apache Spark 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 Apache Spark 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 Apache Spark developers, consider niche platforms like Arc that naturally attract and carefully vet their Apache Spark developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Apache Spark developers.
Some factors to consider when you hire Apache Spark 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 Apache Spark developers for hire.
Writing a good Apache Spark developer job description is crucial in helping you hire Apache Spark 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 Apache Spark 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 Apache Spark developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Apache Spark 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 Apache Spark 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 Apache Spark developers to keep up with evolving technology and requirements.
You can find a variety of Apache Spark developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Apache Spark developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Apache Spark 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 Apache Spark 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 Apache Spark developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Apache Spark developers.
Every Apache Spark 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 Apache Spark 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 Apache Spark 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 Apache Spark 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 Apache Spark developers, you can rest assured that all remote Apache Spark 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 Apache Spark developers before we present them to you. As such, all the remote Apache Spark 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 Apache Spark developer in 72 hours, or find a full-time Apache Spark 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 Apache Spark developers.
Depending on the freelance developer job board you use, freelance remote Apache Spark developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Apache Spark 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 Apache Spark 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 Apache Spark 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 Apache Spark developers, check out our FAQs page.