9 of 9 HDFS Jobs in the UK excluding London

data workflows and reduce manual interventions. Must have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python. Good to have: Cloudera – Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake Erwin. Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. More ❯

e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Knowledge of AWS Knowledge of Databricks Understanding of Cloudera Hadoop, Spark, HDFS, HBase, Hive. Understanding of Maven or Gradle About the Team J.P. Morgan is a global leader in financial services, providing strategic advice and products to More ❯

., cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills Knowledge of AWS Knowledge of Databricks, Pyspark Understanding of Cloudera Hadoop, Spark, HDFS, HBase, Hive. #J-18808-Ljbffr More ❯

data science methods using parallel computing frameworks (e.g., Deeplearning4j, Torch, TensorFlow, Caffe, Neon, NVIDIA cuDNN, OpenCV) and distributed data processing frameworks (e.g., Hadoop including HDFS, HBase, Hive, Impala, Giraph, Sqoop; Spark including MLib, GraphX, SQL, DataFrames). Proficient in programming/scripting languages such as Python, Java, Scala, and R More ❯

that are Accurate, Reliable, Relevant, Consistent, Complete, Scalable, Timely, Secure, Nimble. Olympus is built on Big data platform and technologies under Cloudera distribution like HDFS, Hive, Impala, Spark, YARN, Sentry, Oozie, Kafka. Our team interfaces with a vast client base and works in close partnership with Operations, Development and other … business practices, and escalating, managing and reporting control issues with transparency. Skills & Qualifications: Working knowledge of various components and technologies under Cloudera distribution like HDFS, Hive, Impala, Spark, YARN, Sentry, Oozie, Kafka. Very good knowledge on analyzing the bottlenecks on the cluster - performance tuning, effective resource usage, capacity planning, investigating. More ❯

that are Accurate, Reliable, Relevant, Consistent, Complete, Scalable, Timely, Secure, Nimble. Olympus is built on Big data platform and technologies under Cloudera distribution like HDFS, Hive, Impala, Spark, YARN, Sentry, Oozie, Kafka. Our team interfaces with a vast client base and works in close partnership with Operations, Development and other … an Application Support role. Hands-on experience in supporting applications built in Hadoop. Working knowledge of various components and technologies under Cloudera distribution like HDFS, Hive, Impala, Spark, YARN, Sentry, Oozie, Kafka. Experienced in Linux Very good knowledge on analyzing the bottlenecks on the cluster - performance tuning, effective resource usage More ❯

more. In this role, you will be using python (specifically pyspark) and Node.js for processing data, backed by various Hadoop stack technologies such as HDFS and HBase. MongoDB and Elasticsearch are used for indexing smaller datasets. Airflow & Nifi are used to co-ordinate the processing of data, while Jenkins, Jira … in learning more. You will be using Python (specifically pyspark) and Node.js for processing data You will be using Hadoop stack technologies such as HDFS and HBase Experience using MongoDB and Elasticsearch for indexing smaller datasets would be beneficial Experience using Airflow & Nifi to co-ordinate the processing of data More ❯

more. In this role, you will be using python (specifically pyspark) and Node.js for processing data, backed by various Hadoop stack technologies such as HDFS and HBase. MongoDB and Elasticsearch are used for indexing smaller datasets. Airflow & Nifi are used to co-ordinate the processing of data, while Jenkins, Jira … in learning more. You will be using Python (specifically pyspark) and Node.js for processing data You will be using Hadoop stack technologies such as HDFS and HBase. Experience using MongoDB and Elasticsearch for indexing smaller datasets would be beneficial. Experience using Airflow & Nifi to co-ordinate the processing of data More ❯

more. In this role, you will be using python (specifically pyspark) and Node.js for processing data, backed by various Hadoop stack technologies such as HDFS and HBase. MongoDB and Elasticsearch are used for indexing smaller datasets. Airflow & Nifi are used to co-ordinate the processing of data, while Jenkins, Jira … in learning more. You will be using Python (specifically pyspark) and Node.js for processing data You will be using Hadoop stack technologies such as HDFS and HBase Experience using MongoDB and Elasticsearch for indexing smaller datasets would be beneficial Experience using Airflow & Nifi to co-ordinate the processing of data More ❯