16 of 16 Remote HBase Jobs

GCP. Experience in large-scale data platform builds and application migrations. Expert knowledge of Apache Hadoop ecosystem and associated Apache projects (e.g., HDFS, Hive, HBase, Spark, Kafka, Yarn etc.). Proficiency in Kubernetes for container orchestration. Ability to read and modify open-source code and experience with version upgrades More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

Bus frameworks (preferably under Cloud environment) • Agile Scrum and possibly experience with leading a Scrum team as a scrum master or equivalent • PostgreSQL, DynamoDB, HBase, MongoDB, Cassandra • Masters in Computer Science or related field Customer Requirements • Clearance - Ability to obtain and hold a public trust position and favorable suitability More ❯

Bus frameworks (preferably under Cloud environment) • Agile Scrum and possibly experience with leading a Scrum team as a scrum master or equivalent • PostgreSQL, DynamoDB, HBase, MongoDB, Cassandra • Good understanding of DevSecOps practice and tools • Masters in Computer Science or related field Customer Requirements • Clearance - Ability to obtain and hold More ❯

feature team. Help 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. Knowledge of architectural design patterns, highly optimized, low latency, and massively scalable platforms. Hybrid More ❯

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 Platforms Hybrid working model More ❯

work methodically with a high level of attention to detail Experience working with SQL or any big data technologies is a plus (Hadoop, Hive, Hbase, Scala, Spark etc) Good team player with a strong team ethos. #J-18808-Ljbffr More ❯

We use Terraform, Ansible, k8s and Datadog to manage a range of RHEL/Rocky 9 hosts. Our analytics clusters make use of Spark, HBASE and HDFS. Experience in designing and implementing scalable infrastructure solutions, ideally with some exposure to parallel processing environments used for large-scale analytics. An More ❯

Our technology stack is diverse, and we are looking to fill roles for a variety of projects including: Core data and infrastructure development with HBase, Elastic Search, ZooKeeper, Redis, MySQL, and Memcached. Running, monitoring, and deploying to thousands of servers in multiple data centers & the cloud (DevOps & SRE) Candidates More ❯

and processes to deliver (Scrum/Kanban, DevOps, CI/CD, BDD/TDD test automation). Experience using big data technologies (Hadoop, Hive, HBase, Streaming, etc), experience with highly scalable, distributed systems and data processing of large data sets. Experience with SQL (Oracle, Postgres, MySQL, Aurora) and NoSQL … AWS DynamoDB, Hbase, Mongo DB) and Graph Databases (Neo4j, AWS Neptune). What else you need to know. We'll be conducting all interviews via telephone or video-conference where possible. This is a permanent role which is based in Milton Keynes. Everyday Inclusion At Santander we’re creating More ❯

About Ripjar Ripjar is a UK based software company that uses data and machine learning technologies to help companies and governments prevent financial crimes and terrorism. For example, our software was helping many financial institutions and corporations comply with the More ❯