576 to 600 of 1,223 Permanent Kafka Jobs

consulting experience within BFSI, leading complex enterprise transformations. Platform Expertise: Deep technical proficiency in modern data platforms (Databricks, Snowflake) and toolsets (dbt, Airflow, Kafka). Advanced Architecture & AI: Mastery of Lakehouse, Data Mesh, Streaming, MLOps, and GenAI integration to drive continuous innovation. Governance & Compliance: Expertise in zero-trust security ...

experience in a professional field or military- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in cloud based solution (AWS or equivalent), system, network and operating system- Experience ...

contribute to technical reviews, maintain high coding standards, and thrive in Agile, collaborative team environments. Experience designing and operating distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar frameworks. Proven ability to optimize microservices for low-latency, high-throughput processing at significant scale. Preferred Qualifications: Familiarity with ...

Exposure to monitoring, metrics and tracing tooling - ELK stack, Splunk, Prometheus, Grafana, Graphite, OpenTSDB, OpenTrace, JaegerExposure to message-oriented architecture - ZeroMQ, JMS, AMPS, RabbitMQ, Kafka, Google pub/subExposure to process/container orchestration technologies - Mesos, Kubernetes, OpenShift, dockerHi proficiency in data architecture in both SQL and NoSQL data ...

Network Visibility and Analytics Technical Expertise Enterprise Architecture Infrastructure Architecture Enterprise Directories, Storage & Policies IT/OT Integration API‐Led Integration Event‐Driven Architecture Kafka and Streaming Technologies Enterprise Integration Platforms Cloud Architecture (Azure, AWS, GCP) Cyber Security and Identity Management Virtualization End User Compute High Availability and Disaster ...

drive business outcomes. Bonus Points: Contributions to the open-source community (GitHub, Stack Overflow, blogging)Existing exposure to Go or C++, Scala, AWS, Cassandra, Kafka, Elasticsearch...Prior experience in the cybersecurity or intelligence fieldExperience in thinking about, designing, or implementing programming languages and/or compilersInteresting hobbies#LI-GO1Benefits of Working ...

modern data tooling - ideally Snowflake and dbt - used to build analytical or reporting pipelines. Knowledge of messaging frameworks and event-driven patterns (e.g. Kafka).The salaryWe expect to pay from 80,000 to 110,000 for this role. But, we're open-minded, so definitely include your salary goals ...

DataDog, LaunchDarkly, and GitHub Actions for seamless deployment and reliability. We use: Frontend: Flutter (Mobile), Angular (Web)Backend: Java (17+), Spring BootDatabases: PostgreSQL, MySQLMessaging: Kafka, AWS SQS/SNSInfrastructure: Kubernetes (EKS), AWSWHAT YOU'LL GET IN RETURNOur location-specific employee benefits are designed to cater to the unique needs ...

experience in data engineering, distributed systems, MLOps, or infrastructure ML roles in production environments. Proven experience building high-throughput streaming or telemetry pipelines (e.g., Kafka, Pulsar, Kinesis, or equivalent). Strong experience designing time-series feature pipelines and operating large-scale observability systems. Experience building and maintaining feature stores ...

based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows. Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution. Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).Design … maintainability. Understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling). Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing). Bachelor's in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferredCFA, CPA, CIPM, CAIA ...

Data Engineer London/Edinburgh 6 Month Contract Via Umbrella Our UK leading banking client are looking for a Data Analyst to join their team on an initial 6-month contract. Core Technical Requirements Strong ...

collaborate effectively with technical and non-technical stakeholders Experience with Unity Catalog, MLflow or Databricks Asset Bundles would be advantageous Knowledge of dbt, Kafka, Event Hubs or other data transformation and streaming technologies would be beneficial Desirable Experience: Databricks certifications Experience working with retail or consumer packaged goods data ...

Proven experience designing and scaling RESTful APIs. Solid understanding of MySQL (or other major RDBMS) with query-tuning experience. Hands-on experience with Apache Kafka and change data capture (CDC) pipelines. Proficient in Java performance profiling and debugging. Comfortable in Linux environments, with strong communication and production-support skills. ...

ENGINEER TO HAVE.... Cloud based experience Microservice architecture or server-less architecture Big Data/Messaging technologies such as Apache Nifi/MiNiFi/Kafka TO BE CONSIDERED.... Please either apply by clicking online or emailing me directly to For further information please call me on . ...

with .NET and Power BI for data processing/integration Strong data engineering background — Snowflake, advanced SQL, MongoDB (NoSQL), SSIS Practical knowledge of Apache Kafka; exposure to Kubernetes for cloud deployments Hands-on GitHub usage — branching strategies, release management Agile/Scrum delivery experience with JIRA/Confluence Exposure ...

operating data-driven applications or AI solutions in productive environments Experience with event streaming, data pipelines and modern data platforms, such as Apache Kafka Experience in developing, deploying and orchestrating containerized applications, such as with Docker, Kubernetes or OpenShift Understanding of MLOps, CI/CD and the reliable operation ...

least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ ...

least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ ...

least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ ...

least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ ...

least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ ...

least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ ...

Required Skills & ExperienceExtensive hands‐on experience with Java 11, Spring Boot, and microservices‐based architecturesStrong experience working in AWS cloud environmentsSolid experience with Apache Kafka and asynchronous messagingIn‐depth knowledge of ISO 20022 payments, including payment types and schemes5-10 Years as a Java engineerHands‐on experience implementing ICON ...

Required Skills & ExperienceExtensive hands‐on experience with Java 11, Spring Boot, and microservices‐based architecturesStrong experience working in AWS cloud environmentsSolid experience with Apache Kafka and asynchronous messagingIn‐depth knowledge of ISO 20022 payments, including payment types and schemes5-10 Years as a Java engineerHands‐on experience implementing ICON ...

engineering automation, deployment pipelines, and continuous integration practices. Database Design, Performance & API Integration - Experience with data modelling, API development, and messaging technologies such as Kafka and MQ. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation ...