126 to 150 of 1,229 Permanent Kafka Jobs

SQL queries. Extensive experience with using Java for data processing, manipulation or querying (SQL or NoSQL) ETL/Data Integration experience using Spring, NiFi, Kafka, and Elasticsearch. Experience with development in Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure) Experience with development leveraging cloud data services (ex: S3, RDS More ❯

as PostgreSQL. Extensive experience using Java for data processing, manipulation, or querying (SQL or NoSQL). ETL/Data Integration experience using Spring, NiFi, Kafka, and Elasticsearch. Experience with development in Commercial Cloud Platforms (e.g., AWS, Google Cloud, Azure). Masters with 15 or more years of relevant experience More ❯

full-stack programming experience using Java, Javascript, Scala/Python Experience working with big-data stack, including (but not limited to) spark/hadoop, kafka, Aerospike/Dynamodb Experience with AWS tech stack, including but not limited to EMR, Athena, EKS Expert knowledge of multi-threading, memory model, etc. More ❯

microservices purposed programming languages Runtimes: Experience in .NET Core, .Net based development Proficiency in Azure cloud services and frameworks Developing Event Driven Applications using Kafka, Zookeeper Knowledge of cloud-native CI/CD for change release Knowledge in Test Driven Development Azure Full stack developers need to be proficient More ❯

Tech Stack Java 17+ Rest APIs with Micronaut and Spring Boot Relational database (Azure SQL/SQL Server/PostgreSQL) MongoDB Event processing with Kafka CI/CD with GitHub Actions and Azure pipelines Code quality with Sonar Microservice architecture Azure DevOps, Kubernetes, Docker Azure storage, Redis Observability Tools More ❯

architecture. Experience in working with a relational database. Experience provisioning infrastructure with Terraform and Cloud Formation. Understanding of messaging systems like MQ, Rabbit MQ, Kafka, or Kinesis. Effective communication and collaboration skills to be able to partner with business stakeholders and other technical teams. AWS and Java Certifications. External More ❯

with containerization and cloud environments (e.g., Azure, AWS, GCP). Knowledge of OpenAPI/Swagger standards. Experience with event-driven architectures or messaging systems (Kafka, RabbitMQ). Competencies: Business insight Cultivates innovation Drives results Makes sound decisions Being a brand champion Collaborates Communicates effectively Customer focus Being Authentic Emotional More ❯

to maintaining systems engineering artifacts adhering to DoDAF. Experience with cross domain methodologies Familiarity with horizontally-scalable frameworks such as Hadoop, Docker, Kubernetes and Kafka Tools: Personal Computer (PC) based systems and project related test equipment Apps/Platforms: Docker/Podman, Kubernetes, Helm, NiFi, Grafana, Prometheus, VS Code More ❯

from backlog through to production. Willing and eligible to obtain UK security clearance to Security Check (SC) if required. Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace, ELK stack, Splunk). Experience using logging to derive application insights. Consideration of non More ❯

from backlog through to production. Willing and eligible to obtain UK security clearance to Security Check (SC) if required. Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace, ELK stack, Splunk). Experience using logging to derive application insights. Consideration of non More ❯

from backlog through to production. Willing and eligible to obtain UK security clearance to Security Check (SC) if required. Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace, ELK stack, Splunk). Experience using logging to derive application insights. Consideration of non More ❯

define and manage cloud infrastructure through code. Desirables: Familiarity with GCP. Experience with containerisation technologies (Docker, Kubernetes). Familiarity with streaming data ingestion technologies (Kafka, Debezium). Exposure to feature store concepts and practices (Feast or similar). Interview process Interviewing is a two way process and we want More ❯

software (e.g., git), software project management and collaboration solutions (e.g., JIRA, Confluence) and automated build frameworks (e.g., Jenkins) 5. Experience with messaging frameworks (e.g. Kafka, RabbitMQ, ActiveMQ, JMS) 6. Experience with employing industry accepted programming constructs/practices (e.g., thread pools, abstract class implementations, unit testing, concurrency) 7. Experience More ❯

environments 17. Experience with Open Container Initiative (OCI) containerized application development 18. Understanding of test-driven software development 19. Experience with messaging frameworks (e.g. Kafka, RabbitMQ, ActiveMQ, JMS) 20. Familiarity with automated testing and test tools 21. Familiarity with running performance tests and debugging techniques. 22. Familiarity with database More ❯

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management Technology team More ❯

with relational databases such as MySQL and MariaDB; use tools like PGAdmin for data management • Engage with big data tools such as Apache Hadoop, Kafka, HDFS, HBase, and Zookeeper Required Skills: • Strong experience with Java and Apache NiFi is required • Proven ability to develop and support complex backend systems More ❯

Java, C, C++ for distributed systems, with proficiency in networking, multi-threading and implementation of REST APIs Experience with the Spring framework, messaging frameworks (Kafka, RabbitMQ), streaming analytics (Apache Flink, Spark), management of containerized applications (Kubernetes). Experience with Enabling tools (Git, Maven, Jira), DevOps (Bamboo, Jenkins, GitLab Cl More ❯

be doing? Design and implement efficient ETL processes for data extraction, transformation, and loading. Build real-time data processing pipelines using platforms like Apache Kafka or cloud-native tools. Optimize batch processing workflows with tools like Apache Spark and Flink for scalable performance. Infrastructure Automation: Implement Infrastructure as Code More ❯

Rancher, Sonarqube Experience with GIT, Ruby, ArgoCD Experience with Terraform AWS Cloud Computing Skills, AWS CloudWatch, Elastic Search, Prometheus, Grafana Familiarity with NIFI, Apache, Kafka Kalman Filtering Education/Experience Requirements SME Level: Expert consultant to top management typically with an advanced degree and 13+ years' experience or a More ❯

Hands-on experience with performance tuning, scalability, and optimizing software for reliability and efficiency in production environments. Proven experience in designing and implementing Apache Kafka-based solutions, including real-time data streaming, event-driven architectures, and message queuing systems. Experience with DevOps practices, infrastructure as code (e.g., Terraform, Ansible More ❯

with Java Spring Boot for microservice integration patterns Knowledge of SOLID principles and writing clean code Familiarity with streaming data technologies such as Apache Kafka and AWS native messaging/streaming features Ability to work with SQL and NoSQL databases like Postgres and MongoDB Understanding of DevOps tools and More ❯

JavaScript Libraries (Angular, React,js etc) ** Databases (ideally SQL) It'd be a bonus if you've worked with: ** Microservices ** Elastic Search or Apache Kafka ** Working within Healthcare This environment would suit a skilled Software Engineer who's passionate about working with modern technologies in a company that takes More ❯

JavaScript Libraries (Angular, React,js etc) ** Databases (ideally SQL) It'd be a bonus if you've worked with: ** Microservices ** Elastic Search or Apache Kafka ** Working within Healthcare This environment would suit a skilled Software Engineer who's passionate about working with modern technologies in a company that takes More ❯

big data frameworks (Hadoop, Spark, Flink etc.) Experience with ML lifecycle management tools (MLflow, Kubeflow, etc.) Familiarity with data pipelining and streaming technologies (Apache Kafka, Apache Nifi, etc.) Demonstrated contributions to open-source software repositories (github, kaggle, etc.) Experience deploying ML models on cloud platforms (AWS, Azure, etc.) Domain More ❯

JavaScript Experience in developing and deploying microservices architectures using Spring Boot, Spring Batch, Spring Data or similar frameworks Knowledge of JIRA, Junit and Apache Kafka are preferred Hands-on experience with NoSQL DB (CosmosDB, MongoDB) In-depth knowledge of REST API principles, protocol Familiarity with containerization tools and cloud More ❯