1 to 25 of 35 HBase Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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/or Python Development. 2+ years of experience in working with relational databases such as MySQL, Postgres etc. 2+ years of experience in NoSQL databases like Bigtable, Cassandra, HBase etc. Experience with schema design and data modeling. Strong understanding of large-scale distributed data processing. Experience with developing extract-transform-load (ETL). Experience with distributed messaging systems 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯