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3,938 top Big data technologies developers available to hire:

Freelance Big data technologies developers - Marcel P.
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Marcel P.

Vetted Big data technologies developer in Brazil (UTC-3)

Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) Experienced tech consultant, currently working as Data Tech Lead at Ernst & Young Brazil, focused in: \- SQL, Python, PySpark and Scala Languages \- Data Engineering \- Data Architecture \- ETL pipelines (By code or by ETL Tools like Pentaho, Alteryx, SSIS) \- Big Data (Spark, HDFS, Hive, NiFi, Kafka) \- Tuning and performance \- Azure Cloud (Data Factory, Databricks, Synapse Analytics, SQL DB, Data Lake Gen 2, Stream Analytics) \- Terraform and IaC for Azure Cloud \- Databases (SQL Server, PostgreSQL, Teradata, IBM DB2, MySQL) \- Data Modeling (Erwin, DW, DLH, OLAP/OLTP) \- Business Intelligence and DataViz (Power BI Expert level (M, DAX, DAX Studio, Tabular Editor), Tableau, Looker/Data Studio, Looker and LookML, Qliksense and Qlikview) \- Microsoft Fabric complete solution \- Microsoft Solutions (Power Platform, Power Automate, Sharepoint, Power Apps, Dataverse, Sharepoint)

Data warehouse • 5 yrsData Engineering • 5 yrsBig Data • 3 yrsData Visualization • 7 yrsData modeling • 5 yrsData Pipelines • 5 yrsData MiningData analysisData MigrationData structureData processingData ManagementData analyticsData CleansingData CleaningData IntegrationGoogle Data StudioData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationData QualityData manipulationData wranglingData ValidationBig Data EngineeringAzure Data FactoryData governanceBig data technologiesData Warehouse TestingBig Data ArchitectureAzure Data EngineerVisual Data AnalyticsAzure Data LakeData pipeline designData Version ControlData ScienceEnglishPerformance OptimizationETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloudQuery OptimizationSASIntegrationGitLabFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPTableauSQL QueriesDatabase TuningIBM DB2Apache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLPentahoStar SchemaQlik SenseJupyterTerraformApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignCloud ArchitecturePower BIAgileSQL DatabasesLookerSnowflakeAirflowAlteryxApache AirflowAzure SQL DatabaseDataflowAzure table storageDatabricksJupyterLabApache NiFiMicrosoft Power AppsAzure Blob StorageAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTMicrosoft Power AutomateDelta LakeDataverseAzure synapse analyticsAzure synapseDelta TablesUX designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsRequirements GatheringTechnical WritingNoSQL DatabaseProblem solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
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Freelance Big data technologies developers - Mark M.
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Mark M.

Vetted Big data technologies developer in Kenya (UTC+3)

I am a Full-stack developer with a passion for building products and solutions that solve real existing challenges. With a proven record and 7+ years of experience in systems delivery mostly in startups, I'm currently a Senior Engineer at LCT Africa."

Freelance Big data technologies developers - Rui C.
Rui C.

Big data technologies developer in Portugal

Data leader with 20+ years of experience and a proven track record of building and scaling data teams to devise and implement innovative data strategies and systems for different industry-leading organizations globally. Demonstrated success in streamlining operations, boosting efficiency, implementing a self-service BI program from scratch, and accelerating data analysis, reporting, and visualization that led to better data-driven decision-making. Looking for a challenging Data roles.

Freelance Big data technologies developers - Krutika L.
Krutika L.

Big data technologies developer in India (UTC+6)

I am a seasoned Data Scientist specializing in Natural Language Processing (NLP) with a robust foundation in both Machine Learning (ML) and Deep Learning. Proficient in Python, I skillfully employ NLTK and spaCy to extract valuable insights from unstructured text, utilizing advanced algorithms to deliver impactful and data-driven solutions.

Freelance Big data technologies developers - Shashikant B.
Shashikant B.

Big data technologies developer in India (UTC-7)

IT professional with 12+ years working experience and proven expertise in Big Data technologies, Data Lake , Hadoop, Parallel & Distributed Filesystems, Scale Out Storage, and System Software Development, currently building a modern data analytics and AI platform at Oracle . I have been a founding member for multiple open source Apache projects, mentored, and helped develop a highly motivated engineering organization. I have also designed and developed a highly scalable and distributed Object Store Ozone and also worked on file systems like HDFS, GPFS and as well as Big data technologies which includes Hadoop and Spark.

Freelance Big data technologies developers - Lukish Y.
Lukish Y.

Big data technologies developer in India (UTC-8)

Having 9+ years of experience in Science of the data, I do not hesitate to use adaptations instead of reinventing the wheel. I BELIEVE: 1) Scoping the problem to find its relevance is one of the most important aspects of analytics. 2) Creating partial solutions is better than admiring the problem. Being an impatient learner makes me flexible enough to learn new technologies. Science of data is not just a Tech, but also a LIFE skill!

Freelance Big data technologies developers - NAGA G.
NAGA G.

Big data technologies developer in India (UTC+6)

Seeking a dynamic and stimulating work environment that fosters innovation and challenges my abilities. I aspire to utilize my skills to learn, grow, and contribute effectively to the organization's success while advancing both professionally and personally. I aim to become a valuable asset, leveraging my strengths to drive positive outcomes for the company.

Freelance Big data technologies developers - vijay T.
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vijay T.

Vetted Big data technologies developer in the United States (UTC-6)

· Over **17+ years** of experience in **Data Engineering, Data Migration ETL/ELT Quality and Testing**using large structured and unstructured datasets · Experience in **financial Banking, Retail, Energy and Payroll** domains · Experience in **Integration, Functional, Regression, System Testing, Load Testing, UAT Testing and GUI testing**. · Excellent working knowledge of **System Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) and Defect Life Cycle (DLC).** · Experienced in working with cloud-based technologies such as **AWS, Snowflake,GCP, IBM Tririga SuccessFactors** to design, develop, and implement data management solutions · Experienced in ETL tools like IBM data stage, **SAP BODS, Alteryx, Informatica** · Skilled in developing ETL/ELT processes to extract, transform, and load data into data warehouses and data lakes · Experience in migration process **SAP, Oracle, Teradata, DynamoDB and DB2 systems** · Expertise in writing **Data quality rules using SAP information stewards** · Expertise in developing **data pipelines** · Experienced in leveraging **data visualization tools such as Tableau and Power BI** to create insightful dashboards · Excellent problem solving and **analytical skills, with the ability to identify and resolve data related issues quickly and effectively** · Experience in **creating test data for validations** · Experienced in **Agile Methodologies, CI/CD pipeline to build, develop and automate process**

Freelance Big data technologies developers - Matthew L.
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Matthew L.

Vetted Big data technologies developer in the United States (UTC-6)

I have 20+ years in the technology industry and have serviced the financial, government, insurance, healthcare, energy, startup/technology, and retail sectors ranging from data architecture, software engineering, R&D, DevOps, management, strategic consulting, patented applications, and high-value revenue-generating applications & architecture. I hold patents in secured distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. I hold patents in secure distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. ● High-Performance Computing (HPC) ● Microservices Architecture ● Multi-Agent Distributed Computation ● Highly scalable Service Oriented Architectures (SOA) ● Predictive Big Data Analytics ● Consensus Algorithm Design ● High-Value Research & Development ● Cloud Architecture and Implementation ● DevOps and Security Penetration Testing ● System Virtualization and Containerization ● Data Center Relocations ● Security Audits ● Server Performance Management ● Capacity and Deployment Planning ● Management ● Storage Management ● Network Infrastructure Design and Implementation

Freelance Big data technologies developers - Scott C.
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Scott C.

Vetted Big data technologies developer in the United States (UTC-4)

Experienced software engineer, architect, and leader: full-stack (backend focused) language agnostic machine learning / data enthusiast who thrives in collaborative environments As an experienced and engaged software engineer having a strong customer focus, I am an expert at breaking down and solving complex software problems across the full stack and multiple domains. I thrive on collaboration with my team, and take pride in my ability to clearly communicate with stakeholders and customers, while mentoring junior engineers and continuously improving team velocity. Because of my broad/deep full-stack experience with focus on backend (including machine learning and data pipelines), combined with my superpowers of building/growing teams and converting ambiguous user stories to design and actionable/scoped units of work (and then seeing those through to completion), I am able to make a resounding impact, starting on day one, in any organization. Specialties: Core System Software Design and Development; Microservice Architectures; Monitoring and Alerting; Big Data; Performance; Numeric Analysis; Data Analysis; Team Building and Mentorship; Software Development Lifecycle; Continuous integration and improvement.

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Why clients hire Big data technologies 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 offers pre-vetted remote software developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.

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FAQs

Why hire a Big data technologies 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 technologies 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 technologies developers can help keep your website up-to-date.

How do I hire Big data technologies developers?

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

Where do I hire the best remote Big data technologies developers?

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

Some factors to consider when you hire Big data technologies 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 technologies developers for hire.

How do I write a Big data technologies developer job description?

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

What skills should I look for in a Big data technologies developer?

The top five technical skills Big data technologies developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software 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 technologies 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 technologies developers to keep up with evolving technology and requirements.

What kinds of Big data technologies developers are available for hire through Arc?

You can find a variety of Big data technologies 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 technologies developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Big data technologies 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 software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Big data technologies 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 technologies developers?

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

Every Big data technologies 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 technologies 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 technologies developer's skills?

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

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

How much does a freelance Big data technologies developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Big data technologies developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Big data technologies 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 technologies 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 technologies developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software 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 technologies 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 technologies developers, check out our FAQs page.

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