14 of 14 HDFS Jobs in London

experience with expertise in Cloudera Data Platform (CDP), Cloudera Manager, and Cloudera Navigator . Strong knowledge of Hadoop ecosystem and related technologies such as HDFS, YARN, Hive, Impala, Spark, and Kafka . Strong AWS services/Architecture experience with hands-on expertise in cloud-based deployments (AWS, Azure, or GCP More ❯

clouds including AWS Experience in distributed cache systems like Apache Ignite or Redis Experience in big data platforms and technologies such as Hadoop, Hive, HDFS, Presto/Starburst, Spark, and Kafka Experience in Spring Framework and Cloud Computing for both batch and real-time high volume data processing Experience in More ❯

This business doesn’t do “just one stack”. You’ll be expected to work across a broad tech landscape: Big Data & Distributed Systems: HDFS, Hadoop, Spark, Kafka Cloud: Azure or AWS Programming: Python, Java, Scala, PySpark – you’ll need two or more, Python preferred Data Engineering Tools: Azure Data More ❯

tools like Ansible, Terraform, Docker, Kafka, Nexus Experience with observability platforms: InfluxDB, Prometheus, ELK, Jaeger, Grafana, Nagios, Zabbix Familiarity with Big Data tools: Hadoop, HDFS, Spark, HBase Ability to write code in Go, Python, Bash, or Perl for automation. Work Experience 5-7+ years of proven experience in previous More ❯

tools like Ansible, Terraform, Docker, Kafka, Nexus. Experience with observability platforms: InfluxDB, Prometheus, ELK, Jaeger, Grafana, Nagios, Zabbix. Familiarity with Big Data tools: Hadoop, HDFS, Spark, HBase. Ability to write code in Go, Python, Bash, or Perl for automation. Work Experience 6-8 years of proven experience in previous roles More ❯

tools like Ansible, Terraform, Docker, Kafka, Nexus Experiencing with observability platforms: InfluxDB, Prometheus, ELK, Jaeger, Grafana, Nagios, Zabbix Familiarity with Big Data tools: Hadoop, HDFS, Spark, HBase Ability to write code in Go, Python, Bash, or Perl for automation. Work Experience 6-8 years of proven experience in previous roles More ❯

systems: security, configuration, and management Database design, setup, and administration (DBA) experience with Sybase, Oracle, or UDB Big data systems: Hadoop, Snowflake, NoSQL, HBase, HDFS, MapReduce Web and Mobile technologies, digital workflow tools Site reliability engineering and runtime operational tools (agent-based technologies) and processes (capacity, change and incident management More ❯

Feeling comfortable to work with new clients Job Responsibilities: Highly experienced developing with Scala/Spark Experience of Java and multithreading Experience of Hadoop (HDFS, HIVE, IMPALA & HBASE) Experience of ETL/Data Engineering What We Offer Why work at GlobalLogic Our goal is to build an inclusive positive culture More ❯

experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI. Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus. Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes. Graduate in Business More ❯

as a member of an agile feature team Helping maintain code quality via code reviews Skill Requirements Proficiency in administrating Big Data technologies (Hadoop, HDFS, Spark, Hive, Yarn, Oozie, Kafka , Hbase, Apache stack) Proficiency in defining highly scalable Platform Architecture. Architectural Design Patterns, Highly optimized, Low latency and Massively Scalable More ❯

address new customer needs and are highly visible and strategic within the organisation. These initiatives are using best of breed technologies, such as Spark, HDFS, Kafka, Postgres, Cassandra and AWS along with in-house developed technologies, and the successful candidate will be working in a fast paced, dynamic team environment … encourages people to approach you when they have a problem you can help them solve. Preferred Experience in software development with Scala, ZIO Spark, HDFS, YARN, Hbase, Kafka AWS: EC2, EMR, S3 Experience financial risk management or financial services industry SQL, Postgres, Cassandra About S&P Global Market Intelligence At More ❯

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 120,000 colleagues, striving to make a 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 ❯

Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing and enables organisations to enforce sanctions More ❯