15 of 15 HBase Jobs in the UK excluding London

within a technical discipline (., 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 ❯

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 ❯

availability active-active & active-passive multi-data centre applications with disaster recovery capabilities is beneficial. • Knowledge of Big Data platforms such as Spark, Scala, Hive, HDFS, Map Reduce, Yarn, HBASE, or Kafka is an advantage. Visa is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for More ❯

line support & working closely with application support, operations, and infrastructure teams for debugging & issue resolution. • Knowledge of Big Data platforms such as Spark, Scala, Hive, HDFS, Map Reduce, Yarn, HBASE, or Kafka is an advantage. Visa is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for More ❯

line support & working closely with application support, operations, and infrastructure teams for debugging & issue resolution. • Knowledge of Big Data platforms such as Spark, Scala, Hive, HDFS, Map Reduce, Yarn, HBASE, or Kafka is an advantage. Visa is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for More ❯

Streaming Frameworks such as Kafka. Knowledge on Monolithic versus Microservice Architecture concepts for building large-scale applications. Familiar with the Apache suite including Hadoop modules such as HDFS, Yarn, HBase, Hive, Spark as well as Apache NiFi. Familiar with containerization and orchestration technologies such as Docker, Kubernetes. Familiar with Time-series or Analytics Databases such as Elasticsearch. Experience with More ❯

Demonstrated knowledge of software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills Knowledge in Databricks, Oracle, Spark, HBase Knowledge in Python Programming Knowledge in AWS technologies, Terraform, Airflow #J-18808-Ljbffr 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 ❯

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 ❯

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 ❯

DevOps tools and concepts – e.g. Kubernetes , Git-based CI/CD , cloud infrastructure (AWS/GCP/Azure). Bonus: Exposure to tools like Elasticsearch/Kibana , Hadoop/HBase , OpenSearch , or VPN/proxy architectures. Strong grasp of software security principles , system performance optimisation, and infrastructure reliability. Experience working on large-scale , production-grade systems with distributed architectures. More ❯

system performance optimisation, and infrastructure reliability. Experience working on large-scale, production-grade systems with distributed architectures. Nice to Have: Exposure to tools like Elasticsearch/Kibana, Hadoop/HBase, OpenSearch, or VPN/proxy architectures. Ideal Candidate will: Bring technical vision, initiative, and a passion for exploring and implementing emerging technologies. Are a natural technical leader with experience More ❯