6 of 6 Apache Cassandra Jobs in London

multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices – code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production ...

traitement en PySpark . Mettre en place des flux temps réel via Kafka (topics, partitions, schémas, offsets). Modéliser et optimiser les schémas Cassandra (tables, clés, clustering, réplication). Intégrer et transformer des données provenant de multiples sources (APIs, BDD, streams, fichiers). Qualité, Performance & Fiabilité Déployer des mécanismes ...

Akka (Actors, Streams, Persistence, Clustering, Projection, HTTP); ZIO; Play; Spark Libraries Circe; Cats; Cats Effect; Slick; Doobie; HTTP4S; Shapeless; Monix Databases RDBMS; MongoDB; Redis; Cassandra; Elastic Search Messaging Kafka; RabbitMQ Architecture and Cloud Microservices; DDD; Event Sourcing; CQRS; AWS; GCP Containerization Docker; Kubernetes * I hereby give consent ...

implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working ...

clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualisation tools (Cassandra, Hadoop, Spark, Tableau). ...

GitHub Actions and Jenkins. You will also reduce manual effort through smart automation 🤖, support and improve data and caching systems like Redis, Kafka, MongoDB, Cassandra, enhance observability using Datadog, Grafana, Prometheus, and CloudWatch 📊, and take part in incident response while continuously improving platform reliability 🔥 🧠 What you will bring Strong … Fastly or Akamai, and strong scripting skills including Bash plus another language 💻. Experience with messaging or database platforms like Kafka, Redis, MongoDB, or Cassandra is important, alongside a deep understanding of scalable and resilient system design. You should also have sharp troubleshooting skills across infrastructure, pipelines, and applications ...