1 to 25 of 39 HBase Jobs in the UK

processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills Knowledge of AWS Knowledge of Databricks Understanding of Cloudera Hadoop, Spark, HDFS, HBase, Hive. Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Check our Blog for more information. More ❯

a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Knowledge of AWS Knowledge of Databricks, Pyspark 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 the world's most prominent More ❯

Head of Data & Analytics Architecture and AI page is loaded Head of Data & Analytics Architecture and AI Apply locations Chiswick Park time type Full time posted on Posted 30+ Days Ago job requisition id JR19765 Want to help us bring More ❯

distributed computing frameworks such as Spark, KStreams, Kafka. Experience with Kafka and streaming frameworks. Understanding of monolithic vs. microservice architectures. Familiarity with Apache ecosystem including Hadoop modules (HDFS, YARN, HBase, Hive, Spark) and Apache NiFi. Experience with containerization and orchestration tools like Docker and Kubernetes. Knowledge of time-series or analytics databases such as Elasticsearch. Experience with AWS services More ❯

in Low latency applications Financial background preferable Spark expertise (micro batching, EOD/real time) Python In-memory databases SQL Skills & RDBMS concepts Linux Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) Python , R or equivalent scripting language(s) Excellent Excel Analysis skills Good understanding of Investment Banking data A history of delivering against agreed objectives Ability to multi-task More ❯

and deployment) Linux and Windows operating 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, job/batch More ❯

Your welcoming attitude 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 S&P Global Market Intelligence, a More ❯

and pricing engine that provides cross-asset coverage to calculate various Credit Risk measures. FRA platform fraimWRX is distributed as AKS images. FraimWRX relies on Redis, Apache Kafka, Spark, HBASE and HDFS. Risk technology are using Kubernetes to deploy fraimWRX with a Python. An in-house .NET based application layer integrates the FRA into MUFG proprietary systems. Risk Technology More ❯

preferable), Scala, and Python programming languages Good data modeling experience to address scale and read/write performance Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDB, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc. Working knowledge of data platform related services on at least 1 Cloud platform to cover IAM and data security Hands More ❯

curiosity and interest 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 would be beneficial You will be More ❯

Build and optimize systems, tools, and validation strategies to support new features Help design/build distributed real-time systems and features Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink) Minimum Requirements: 5+ years software development experience 5+ … years experience in Java, Shell, Python development Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus Must be located in Ireland #J-18808-Ljbffr More ❯

Monitoring utilities, Disaster recovery process/tools Experience in troubleshooting and problem resolution Experience in System Integration Knowledge of the following: Hadoop, Flume, Sqoop, Map Reduce, Hive/Impala, Hbase, Kafka, Spark Streaming Experience of ETL tools incorporating Big Data Shell Scripting, Python Beneficial Skills: Understanding of: LAN, WAN, VPN and SD Networks Hardware and Cabling set-up experience More ❯

is a permanent position based in either the Sheffield or Birmingham office. Must Haves: Experience with cloud-based applications, preferably Azure. Proficiency in RDBMS (PostgreSQL, MySQL) and NoSQL (Cassandra, HBase, Elasticsearch). Ability to build, operate, maintain, and support cloud infrastructure and data services. Skills to automate and optimize data engineering pipelines. Experience with big data technologies (Databricks, Spark More ❯

or functional programming generally Exposure with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc Exposure with DynamoDB or similar NoSQL databases, such as Cassandra, HBase, BigTable, or Cosmos DB Exposure with Git workflows, and the ability to tailor the workflow to project needs Exposure with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc More ❯

or functional programming generally. Exposure with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc. Exposure with DynamoDB or similar NoSQL databases, such as Cassandra, HBase, BigTable, or Cosmos DB. Exposure with Git workflows, and the ability to tailor the workflow to project needs. Exposure with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc. More ❯

curiosity and interest 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 would be beneficial You will be More ❯

clean, well-tested, well-reviewed, performant, and secure then you'll fit in around here. Tech Stack: Micro-services Container Platforms (OpenShift, Kubernetes, CRC, Docker) NoSQL DBs (Cassandra, MongoDB, HBase, Zookeeper, ArangoDB) Serialization libraries (Thrift, Protocol Buffers) Large scale data processing (Hadoop, Kafka) Dependency injection frameworks (Guice, Spring) Text search engines (Lucene, ElasticSearch) Splunk/Elastic CI/CD More ❯

or functional programming generally. Experience with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc. Experience with DynamoDB or similar NoSQL databases, such as Cassandra, HBase, BigTable, or Cosmos DB. Experience with Git workflows, and the ability to tailor the workflow to project needs. Experience with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc. More ❯

or functional programming generally. Exposure with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc. Exposure with DynamoDB or similar NoSQL databases, such as Cassandra, HBase, BigTable, or Cosmos DB. Exposure with Git workflows, and the ability to tailor the workflow to project needs. Exposure with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc. More ❯

or functional programming generally. Experience with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc. Experience with DynamoDB or similar NoSQL databases, such as Cassandra, HBase, BigTable, or Cosmos DB. Experience with Git workflows, and the ability to tailor the workflow to project needs. Experience with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc. More ❯

Kubernetes. Experience with 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 roles or one of the following More ❯

We shaped the earliest forms of ad tech, and we’re looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that’s where the technical More ❯

status quo 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 where everyone can feel comfortable being themselves More ❯

curiosity and interest 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 would be beneficial You will be More ❯

Experience with Temporal or similar orchestration tools. • Messaging & Streaming: Exposure to RabbitMQ or similar message/streaming broker technologies. • Advanced Technologies: Interest or experience in big data technologies (e.g., HBase, Hadoop), machine learning frameworks (e.g., Spark), and orbit dynamics. Why Join Us? • Innovative Environment: Be part of projects at the cutting edge of space systems and security. • Agile Culture More ❯