11 of 11 HDFS Jobs in the UK

BW and migration of these data warehouses to modern cloud data platforms. Deep understanding and hands-on experience with big data technologies like Hadoop, HDFS, Hive, Spark and cloud data platform services. Proven track record of designing and implementing large-scale data architectures in complex environments. CICD/DevOps experience More ❯

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 ❯

skill set, including hands-on experience with Linux, AWS, Azure, Oracle 19 (admin), Tomcat, UNIX tools, Bash/sh, SQL, Python, Hive, Hadoop/HDFS, and Spark. Work within a modern cloud DevOps environment using Azure, Git, Airflow, Kubernetes, Helm, and Terraform. Demonstrate solid knowledge of computer hardware and network More ❯

skill set, including hands-on experience with Linux, AWS, Azure, Oracle 19 (admin), Tomcat, UNIX tools, Bash/sh, SQL, Python, Hive, Hadoop/HDFS, and Spark. Work within a modern cloud DevOps environment using Azure, Git, Airflow, Kubernetes, Helm, and Terraform. Demonstrate solid knowledge of computer hardware and network 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 ❯

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 ❯

logical data structures. Encouraging self-learning among the team. Essential Skills & Qualifications: A confident engineer with an authoritative knowledge of Java and Hadoop including HDFS, Hive, and Spark. Comfortable working with large data volumes and able to demonstrate a firm understanding of logical data structures and analysis techniques. Strong skills More ❯

BASIC QUALIFICATIONS - Good depth of understanding in Hadoop Administration, support and troubleshooting (Any two applications: Apache Spark, Apache Hive, Presto, Map-Reduce, Zookeeper, HBASE, HDFS and Pig.) - Good understanding of Linux and Networking concepts - Intermediate programming/scripting skills. Ideally in Java or Python, but will consider experience in other 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 ❯

and using latest technologies Ability to solve ambiguous, unexplored, and cross-team problems effectively Understanding of distributed file systems such as S3, ADLS, or HDFS Experience with AWS, Azure, and Google Cloud Platform and background in large scale data processing systems (e.g., Hadoop, Spark, etc.) is a plus Ability to 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 ❯