13 of 13 MemSQL Jobs in England

manner. Preferred Qualifications: Experience with Kubernetes deployment architectures. Experience building trading controls within an investment bank. Experience with NoSQL (MongoDB, Elasticsearch, Hadoop), in-memory (MEMSQL, Ignite), cloud (Snowflake), and relational (DB2, SybaseIQ) data store solutions. Experience in data-driven performance analysis and optimization. #J-18808-Ljbffr More ❯

time trading. - Experience with elastic architectures handling high/bursty data loads. - Proficiency in modern tools and platforms such as Kubernetes, Kafka, MongoDB, RocksDB, MemSQL, Prometheus, Tempo, and Snowflake. - Strong Java development skills and experience with distributed systems. - Exposure to Python, DevOps, cloud computing, or stream processing is a plus. More ❯

commercial mindset. Prior experience with Event Sourcing technologies (Kafka, Akka, Spark) and data distribution-based architecture. Experience with NoSQL (MongoDB, Elasticsearch, Hadoop), in-memory (MEMSQL, Ignite), and relational (Sybase, DB2, SybaseIQ) data store solutions. Strong knowledge of data structures, algorithms, and design patterns. Experience in data-driven performance analysis and More ❯

a commercial mindset Prior experience with Event Sourcing (Kafka, Akka, Spark) and data distribution-based architecture Experience with NoSQL (Mongo, Elastic, Hadoop), in-memory (MEMSQL, Ignite), and relational (Sybase, DB2, SybaseIQ) data store solutions Strong knowledge of data structures, algorithms, and design patterns Experience in data-driven performance analysis and More ❯

with a commercial mindset. Experience with Event Sourcing technologies (Kafka, Akka, Spark) and data distribution architectures. Experience with NoSQL (MongoDB, Elasticsearch, Hadoop), in-memory (MEMSQL, Ignite), and relational databases (Sybase, DB2, SybaseIQ). Strong knowledge of data structures, algorithms, and design patterns. Experience in performance analysis and optimization based on More ❯

a commercial mindset. Prior experience with Event Sourcing (Kafka, Akka, Spark) and Data Distribution based architecture Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite) and relational (Sybase, DB2, SybaseIQ) data store solutions. Strong knowledge of data structures, algorithms, and design patterns Experience in data driven performance analysis and More ❯

manage cloud based resources and boost the time to market for new features By utilizing cutting edge new techologies like Kubernetes, Kafka, RocksDR, MongoDB, Memsql, Prometheus, Tempo and Snowflake The team encourages open communication, new technologies and thinking out of box Hands on knowledge in Python is a big plus More ❯

manage cloud based resources and boost the time to market for new features By utilizing cutting edge new techologies like Kubernetes, Kafka, RocksDR, MongoDB, Memsql, Prometheus, Tempo and Snowflake The team encourages open communication, new technologies and thinking out of box Hands on knowledge in Python is a big plus More ❯

manage cloud based resources and boost the time to market for new features By utilizing cutting edge new techologies like Kubernetes, Kafka, RocksDR, MongoDB, Memsql, Prometheus, Tempo and Snowflake The team encourages open communication, new technologies and thinking out of box Hands on knowledge in Python is a big plus More ❯

and risk control platform. It is a distributed .Net architecture, hosted in Azure Kubernetes and utilises components such as Azure Service Bus, SingleStore (formerly MemSQL) and Angular. Work as a senior member of the team to enhance the system Participate in the analysis and design phases as required Participate in More ❯

Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy - a data management and data governance platform Programming Languages: Java, Scala, Scripting Database Technologies: MongoDB, ElasticSearch, Cassandra, MemSQL, Sybase IQ/ASE Micro Service Technologies: REST, Spring Boot, Jersey Build and CI/CD Technologies: Gradle, Jenkins, Gitlabs, SVN Cloud Technologies: AWS CDK … FOR Computer Science, Mathematics, Engineering or other related degree at bachelors level Java, Scala, Scripting, REST, Spring Boot, Jersey Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ/ASE 3+ years of hands-on experience on relevant technologies ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and More ❯

while still able to be queried efficiently. Technologies used include: Data Technologies: Kafka, Spark, Debezium, GraphQL Programming Languages: Java, Scripting Database Technologies: MongoDB, ElasticSearch, MemSQL, Sybase IQ/ASE Micro Service Technologies: REST, Spring Boot, Jersey Build and CI/CD Technologies: Gradle, Gitlab Automation Technologies: Experience automating deployment processes … Java, Scripting, REST, Spring Boot, Jersey Familiarity with Gradle and Gitlab pipeline automation Familiarity with performance testing frameworks such as JMeter Kafka, MongoDB, ElasticSearch, MemSQL, Sybase IQ/ASE 5+ years of hands-on experience on relevant technologies #J-18808-Ljbffr More ❯

and retrieval. Design, develop, and maintain multiple code bases to service realtime data over a distributed data pipeline. Responsible for Kubernetes deployments and namespaces, MemSQL and Oracle databases, Victoria Metrics instances, on-prem S3, and codebases in Python, Typescript, and Kotlin. Maintain and manage pipeline between real-time data from … streaming/non-streaming data sources such as Apache Pulsar/Oracle/MemSQL to application data stores and services. JOB REQUIREMENTS MINIMUM EDUCATION: Bachelor's Degree in Computer Science, CIS, MIS or Information Technology. MINIMUM EXPERIENCE: Five (5) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems More ❯