26 to 43 of 43 Remote Hadoop Jobs

experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation ...

experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation ...

experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation ...

experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation ...

experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation ...

experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation ...

experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation ...

experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation ...

experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Databricks, Spark, Kafka, EMR, Hadoop, MapReduce, Hadoop, Hive, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation ...

substituted for a bachelor's degree. Demonstrated experience with distributed scale Big Data stores (i.e. Accumulo), Map/Reduce programming model (i.e. Hadoop), Hadoop Distributed File System, and data serialization (i.e. JSON). Experience with programming languages such as Java and scripting languages such as Perl, Python, Bash. ...

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience ...

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience ...

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience ...

Neo4J ETL, ESB, API or similar data integration experience Development experience such as Python Exposure to big data tools or architectures such as the Hadoop ecosystem Experience with NLP or OCR technologies Desirable: Knowledge of generative AI concepts or frameworks Experience with containerisation such as Docker Experience in industrial ...

I’m supporting an organisation that’s undergoing a large scale digital transformation, and they’re looking for a Data Engineer who can help design and build the foundations of a modern data ecosystem. If ...

generative AI applications. - Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. - Design and implement Big Data solutions using Hadoop, Spark, PySpark, and DataLake architectures. - Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). - Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow … Ensure scalability, security, and compliance of AI systems. Required Skills: Analytical Tools: - EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) - Statistical & Multivariate Analysis Big Data: - Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark - DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning - Supervised Models: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN - Tree ...

generative AI applications. - Perform Exploratory Data Analysis (EDA), data mining, and visualization to extract insights. - Design and implement Big Data solutions using Hadoop, Spark, PySpark, and DataLake architectures. - Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). - Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow … Ensure scalability, security, and compliance of AI systems. Required Skills: Analytical Tools: - EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) - Statistical & Multivariate Analysis Big Data: - Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark - DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning - Supervised Models: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN - Tree ...

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