Apache Spark is a powerful open-source engine built to power large-scale data processing and analytics. As the largest unified analytics engine in the world, Apache Spark allows data professionals to quickly process data with lightning speed and scalability. Further, Spark enables developers to create machine learning-driven models with ease that can quickly and accurately parse thousands of pieces of information. With its many capabilities, an Apache Spark developer has the skills and expertise needed to turn complex problems into nimble solutions.

Here's some projects that our expert Apache Spark Developer made real:

  • Developing highly personalized datasets with intricate columns and rows
  • Creating APIs to help build bespoke software applications
  • Optimizing processes with Kafka, MLlib, and other AI frameworks
  • Creation of optimized shiny applications for seamless data visualizations
  • Developing powerful predictive models for anomaly detection
  • Training models for intuitive natural language processing

At Freelancer.com we have a platform of talented Apache Spark developers able to deliver end-to-end development projects quickly and efficiently, providing consistent value and results for our clients. With our range of experts ready to tackle the most challenging projects in big data analytics, we are confident in the results you will get. If you are looking for an Apache Spark developer to work on your project, then post your job now on Freelancer.com and have your project executed by some of the best professionals in the world.

From 151 reviews, clients rate our Apache Spark Developers 4.1 out of 5 stars.
Hire Apache Spark Developers

Apache Spark is a powerful open-source engine built to power large-scale data processing and analytics. As the largest unified analytics engine in the world, Apache Spark allows data professionals to quickly process data with lightning speed and scalability. Further, Spark enables developers to create machine learning-driven models with ease that can quickly and accurately parse thousands of pieces of information. With its many capabilities, an Apache Spark developer has the skills and expertise needed to turn complex problems into nimble solutions.

Here's some projects that our expert Apache Spark Developer made real:

  • Developing highly personalized datasets with intricate columns and rows
  • Creating APIs to help build bespoke software applications
  • Optimizing processes with Kafka, MLlib, and other AI frameworks
  • Creation of optimized shiny applications for seamless data visualizations
  • Developing powerful predictive models for anomaly detection
  • Training models for intuitive natural language processing

At Freelancer.com we have a platform of talented Apache Spark developers able to deliver end-to-end development projects quickly and efficiently, providing consistent value and results for our clients. With our range of experts ready to tackle the most challenging projects in big data analytics, we are confident in the results you will get. If you are looking for an Apache Spark developer to work on your project, then post your job now on Freelancer.com and have your project executed by some of the best professionals in the world.

From 151 reviews, clients rate our Apache Spark Developers 4.1 out of 5 stars.
Hire Apache Spark Developers

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    We are seeking an experienced Data Engineer to build and maintain scalable, high-performance data pipelines and infrastructure for our next-generation data platform. The platform ingests and processes real-time and historical data from diverse industrial sources such as airport systems, sensors, cameras, and APIs. You will work closely with AI/ML engineers, data scientists, and DevOps to enable reliable analytics, forecasting, and anomaly detection use cases. Shape Major Skills : Spark, Flink, Iceberg Key Responsibilities · Design and implement real-time (Kafka, Spark/Flink) and batch (Airflow, Spark) pipelines for high-throughput data ingestion, processing, and transformation. · Develop data models and manage data lakes and warehouses (D...

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    Trabajo con archivos .txt que pesan entre 1 GB y 10 GB y necesito acelerar su descarga y análisis en Apache Spark; después, esos datos se consultarán desde mis procesos de Spring Batch. Busco a alguien que revise mi flujo actual, identifique cuellos de botella y proponga mejoras (particionamiento, paralelismo, tuning de cluster, uso de cachés, compresión, etc.). La tarea incluye implementar un job de Spark que lea los textos, realice un análisis de datos básico (conteos, filtros, validaciones sencillas) y deje el resultado preparado para que Spring Batch lo consuma sin cambios adicionales. Al finalizar espero: • Código y scripts listos para producción (Scala o PySpark, lo que domines). • Guía breve de conf...

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