Big Data is the ever-growing amount of structured and unstructured data sets that organizations capture and analyze in order to gain insight, make decisions, and achieve their long-term strategic objectives. A Big Data Developer is arguably one of the most important roles in an organization's data team. These developers have the necessary skills and knowledge to draw insights from large or complex datasets, scale and optimize large datasets manipulations, to automate some of a client's processes, build algorithms for data processing tasks, maintain large databases, work with distributed computing tools for big data initiatives, synch with cloud services and on-site infrastructures and many more. In summation, a Big Data Developer can be critical to helping the organization use the collected data in a meaningful way.

Here’s some projects that our expert Big Data Developer made real:

  • Utilized complex algorithms such as KMeans/BisectionKMeans to find anomalies in large datasets.
  • Built custom infrastructure solutions that employ massive databases leveraging distributed computing.
  • Developed pipelines and dashboards to better visualize data using Tableau/Hadoop/Pyspark/SQL.
  • Implemented solutions for continuous logging tasks with Python, managing streaming data inputs into the thousands per second.
  • Structured AI techniques with deep learning to detect objects (road edges) from aerial images.
  • Optimization measures to reduce storage space requirements, like replacing JSON/CSV formats with Parquet format.
  • Applied predictive analytics to forecast outcomes such as credit card defaults and design strategies for database/data warehouse capabilities.

What all these projects have in common is the utilization of Big Data technologies and approaches to develop solutions towards our client's goals. By harnessing the power of Big Data technologies and deploying best practices in data science processes, we help our clients identify opportunities and unlock latent insights in many different ways; this translates into innovative solutions and opportunities that were otherwise unavailable before!

We invite you to take your organization to the next level by hiring one of our elite Big Data Developers on Freelancer.com! Together we can explore fresh possibilities and get you bigger returns on your investments as you enter into a new digital era of analytics.

From 10,529 reviews, clients rate our Big Data Developers 4.9 out of 5 stars.
Hire Big Data Developers

Big Data is the ever-growing amount of structured and unstructured data sets that organizations capture and analyze in order to gain insight, make decisions, and achieve their long-term strategic objectives. A Big Data Developer is arguably one of the most important roles in an organization's data team. These developers have the necessary skills and knowledge to draw insights from large or complex datasets, scale and optimize large datasets manipulations, to automate some of a client's processes, build algorithms for data processing tasks, maintain large databases, work with distributed computing tools for big data initiatives, synch with cloud services and on-site infrastructures and many more. In summation, a Big Data Developer can be critical to helping the organization use the collected data in a meaningful way.

Here’s some projects that our expert Big Data Developer made real:

  • Utilized complex algorithms such as KMeans/BisectionKMeans to find anomalies in large datasets.
  • Built custom infrastructure solutions that employ massive databases leveraging distributed computing.
  • Developed pipelines and dashboards to better visualize data using Tableau/Hadoop/Pyspark/SQL.
  • Implemented solutions for continuous logging tasks with Python, managing streaming data inputs into the thousands per second.
  • Structured AI techniques with deep learning to detect objects (road edges) from aerial images.
  • Optimization measures to reduce storage space requirements, like replacing JSON/CSV formats with Parquet format.
  • Applied predictive analytics to forecast outcomes such as credit card defaults and design strategies for database/data warehouse capabilities.

What all these projects have in common is the utilization of Big Data technologies and approaches to develop solutions towards our client's goals. By harnessing the power of Big Data technologies and deploying best practices in data science processes, we help our clients identify opportunities and unlock latent insights in many different ways; this translates into innovative solutions and opportunities that were otherwise unavailable before!

We invite you to take your organization to the next level by hiring one of our elite Big Data Developers on Freelancer.com! Together we can explore fresh possibilities and get you bigger returns on your investments as you enter into a new digital era of analytics.

From 10,529 reviews, clients rate our Big Data Developers 4.9 out of 5 stars.
Hire Big Data Developers

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    I need a robust big-data workflow that will let me uncover how customers across Latin America actually buy. The primary aim is to analyze customer behavior, zeroing in on purchase patterns. For phase one the only source on hand is a wide set of structured and unstructured customer surveys gathered in Spanish and Portuguese markets. The job is to clean, standardize, and load these surveys into an environment that supports high-volume processing (Spark, Hadoop, or an equivalent cloud stack you favour). Once the data is stable, I want exploratory analysis, clustering, and predictive modelling that highlight: • Which demographic segments purchase which categories most frequently • Seasonal or regional spikes in demand • Correlations between stated preferences and actual...

    £341 Average bid
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    Over the past month I’ve watched our Databricks bill jump to nearly double its usual size even though, from my vantage point, nothing significant has changed. I’m not sure whether a silent configuration tweak, a new workload, or something subtler—extra clusters lingering, storage growth, or heavier data-transfer—is driving the surge, but the spend is now unsustainable. I need a seasoned Databricks specialist to dive into the workspace, sift through usage reports, job histories, cluster policies, and storage metrics, and tell me exactly where the money is going. Once the root cause is clear, I want practical, step-by-step guidance on how to bring costs back under control. Deliverables • Concise report pinpointing the key cost drivers, supported by metrics ...

    £238 Average bid
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    63 bids

    I have a fully selectable PDF consisting of approximately 1,200 pages, where each page contains exactly one multiple-choice question, including: 1 question statement 4 answer options (A–D) 1 explanation The PDF needs to be converted into an Excel workbook based on a predefined Excel format, not by replicating the visual layout of the PDF. Each PDF page will correspond to one row (or one defined record) in Excel, following the structure and columns specified in the provided Excel template or formatting guidelines. ⚠️ Important workload note: Due to the structure of the PDF, each page will require multiple manual extractions: At minimum 1 copy-paste per page, and In many cases up to 6 separate copy-paste actions per page (question, options A–D, explanation), depending on how the ...

    £28 Average bid
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    83 bids

    AppVisitanos – Technical Specification 1. Executive Summary AppVisitanos is a cloud-native digital ecosystem (PWA) that turns the City into a Smart Tourism Destination. Through an official city QR Code, visitors access: Tourist safety tools (SOS button with geolocation + silent protocol). Smart local economic activation (geo directory, coupons, digital passport, gamification). Real-time tourism intelligence for government (heatmaps, visitor flow, campaign impact). Built with a PWA front-end, serverless architecture, API-First design, and government-grade cybersecurity. AI is used for semantic search, analytics, and predictive geolocation. 2. Vision & Scope AppVisitanos becomes the city’s official digital layer. Key goals: Frictionless adoption (no app store; insta...

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