876 to 900 of 972 Kafka Jobs

InfoSphere MDM v14.x Standard Edition (Virtual MDM), including MDM data models, entities, transactions, batch processing, configuration, customization, and troubleshooting Hands-on experience with Apache Kafka Preferred Skills: -Healthcare Experience Role description : Senior IBM Master Data Management(MDM) & Integration Developer Responsibilities Write high level functional requirement documents. Work in Linux … InfoSphere MDM v14.x Standard Edition (Virtual MDM), including MDM data models, entities, transactions, batch processing, configuration, customization, and troubleshooting Hands-on experience with Apache Kafka Desired Skills Strong understanding of MDM concepts and IBM MDM product capabilities, with the ability to understand, maintain, and enhance an existing MDM Standard ...

andtechnicaldesigndiscussions. -Optimizeapplicationperformance,reliability,andscalability. -Implementbestpracticesforsecurity,dataprotection,andcomplianceinfinancialsystems. -Createandmaintaintechnicaldocumentationforcode,APIs,anddeploymentprocesses. -Troubleshootproductionissuesandprovidetimelyresolutionincollaborationwithsupportteams. -ContributetoCI/CDpipelinesandDevOpsautomationpractices. RequiredSkills&Qualifications -Stronghands onexperienceinJava(8/11/17)andSpringBoot,Kafka,SpringMVC,SpringSecurity. -StronginPythonworkexperience -SolidexperiencewithRESTAPIs,MicroservicesArchitecture,andmessagingsystems(Kafka/RabbitMQ). -Proficiencyinfrontendtechnologies:Angular/React,JavaScript/TypeScript,HTML5,CSS3. -ExperiencewithrelationaldatabasessuchasOracle,SQLServer,orPostgreSQL. -GoodunderstandingofORMframeworkslikeHibernate ...

technology and require mid and senior level Java Developers to form the backbone of this via a major rebuild of their tech stack. Utilising Kafka and Kafka Streams to build a resilient, scalable backbone that powers the growth of the company, this is a unique opportunity … must. A desire to constantly learn, an inquisitive nature and an active member of the wider Java community Bonus Points For: Experience with Kafka and/or a streams-based platform (Samza, Storm) Experience of BDD (behaviour driven development). Experience of Eloqua #J-18808-Ljbffr ...

data warehouse platforms. Data pipeline architecture and development. ELT/ETL platforms such as dbt, Talend, or Informatica. Data warehousing and dimensional modeling. Apache Kafka, Spark, or streaming technologies. Data virtualization tools such as Denodo, Dremio, or Starburst. DataOps, CI/CD, monitoring and production troubleshooting. Key Responsibilities Design … resolve data-related issues. Preferred Qualifications Experience in utilities, energy or large-scale commercial environments. AWS, Azure or GCP. AI/ML data pipelines. Kafka Connect, Spark Streaming or Flink. Important Candidates must be within commuting distance of Richmond, VA and comfortable with the alternating onsite/remote schedule. ...

external data sources means that we'll be able to power businesses across the automotive industry. Spring Boot, Apache Solr, Cloud SQL and Apache Kafka power our platform and process millions of events per day. As a team, our software developers are responsible for ensuring service availability and responsiveness … technical expertise Although not a requirement, helpful experience includes: Google Cloud SQL/Relational databases Document/Map based storage (eg: MongoDB) Working with Kafka messaging/streaming During our application process, you will be asked two questions to help us learn more about you and how you align ...

SPARQL. Familiarity with feature store design and MLOps/DataOps pipeline integration. Experience with stream processing at scale using Apache Kafka or Apache Flink. Background in master data management or data mesh architecture. Consulting or comparable client‐facing delivery experience. Exposure to some of the following, or comparable, technologies … lakehouses: Databricks, Snowflake, Microsoft Fabric, Azure Synapse, Google BigQuery, Amazon Redshift Data engineering and orchestration: Spark, dbt, Airflow, Azure Data Factory, AWS Glue, Dataflow, Kafka, Flink Governance, catalogue and lineage: Microsoft Purview, Collibra, Informatica, Alation, Atlan, OpenLineage Graph, ontology and semantic technologies: Neo4j, Amazon Neptune, Stardog, GraphDB ...

real-time streaming infrastructure Own the architecture and roadmap for high-volume low-frequency data systems, with focus on data stack like Spark, Kafka, Iceberg, RisingWave, Apache Flink Design and operate scalable data architecture that serve trading, risk, compliance, analytics and many product teams. Drive adoption of AI automation … Presto), including data modeling, data quality best practices, and self-service tooling. Strong expertise in building and operating real-time data at scale including Kafka, Spark Streaming, Debezium, and CDC pipelines. Proven ability to manage competing priorities across multiple stakeholder groups — aligning platform investments with the needs of product ...

systems with industry standard frameworks and tools, such as React and Angular on the front end and Java, Spring Boot, Cloud SQL and Apache Kafka on the back end. All of this runs on our cutting edge cloud delivery platform, facilitating over 60k releases to production a year. … scalable, maintainable, and performant Strong knowledge of relational databases (SQL), along with experience working with document-based storage solutions (e.g., MongoDB) Experience with Kafka or other event-driven architectures A structured approach to development and testing (including Test-Driven Development) with a focus on continuous delivery and automation Proven ...

across distributed systems, data management, and platform scalability. Develop and optimise services running within Kubernetes-based environments. Integrate event-driven and streaming technologies, including Kafka, into the wider platform ecosystem. Drive engineering best practices, code quality, testing, and operational excellence. Required Experience Commercial experience developing production systems in Rust … ideally 1-2+ years). Strong background building distributed systems and scalable backend platforms. Experience working with Kafka and event-driven architectures. Hands-on experience with Kubernetes and cloud-native technologies. Strong understanding of system design, performance optimisation, and reliability engineering. Experience working within highly technical engineering environments. ...

engineering experience Strong proficiency in Python or Go (we use both) Experience with distributed systems and microservices architecture Familiarity with real-time data processing (Kafka, Redis, etc.) Experience with PostgreSQL and data modelling for complex domains Understanding of security best practices for handling sensitive data Excellent communication skills … other healthcare interoperability standards Experience with voice/audio processing systems Background in ML infrastructure or model serving Our Stack Python, Go, PostgreSQL, Redis, Kafka, Kubernetes, GCP, Terraform. We're pragmatic about technology choices-we use what works best for the problem at hand. Equity: Meaningful equity stake ...

Compliance, Risk, and Finance teams, driving features from initial concept through production deployment and iteration. Stack Languages: Rust, Go, TypeScript/Node, Python Messaging: Kafka/Redpanda, NATS API/IPC: gRPC/REST Infra: AWS (EKS, RDS, KMS), Terraform Requirements You are a backend and onramp specialist with … TypeScript/Node/Python. Database Mastery: Expert‐level knowledge of Postgres (transactions, indexing, locking), with familiarity in Redis and event/OLAP stores (Kafka/Redpanda, ClickHouse). API Craftsmanship: Mastery of gRPC/REST best practices, including versioning, pagination, authN/Z, idempotency keys, and building rock ...

systems. What you will be doing: Own the design, implementation, and operation of shared Resource Plane services used across the organization Operate and evolve Kafka, RabbitMQ, Redis, and Elasticsearch platforms in production Apply SRE principles to ensure availability, scalability, reliability, and safe upgrades of stateful systems Build and maintain … degree in Computer Science, Software Engineering, or Information Technology Senior-level experience operating production-grade, stateful distributed systems Strong hands-on experience with Kafka, RabbitMQ, Redis, and Elasticsearch Proven experience running infrastructure primarily in on-prem environments Strong understanding of Linux systems, networking, and storage fundamentals Deep experience with ...

problems and the chance to shape an important company while its foundations are still forming. What You’ll Work On Event-driven architecture and Kafka-based workflows , including long-running processes that behave correctly under retries, replay and partial failure Core data models spanning clients, households, firms, assets, products … TypeScript , or comparable depth in another language and the appetite to work in both Distributed and event-driven systems. Strong understanding of Kafka or an equivalent, including ordering, replay, idempotency and partial failure Data modelling judgement. Experience modelling complex or data-critical systems across SQL and NoSQL, with ...

fixed. We expect senior engineers to push on both. Our backend stack services written in Ruby, Elixir and TypeScript behind a federated GraphQL layer. Kafka for events, gRPC or JSON for synchronous calls, Postgres, and everything running in Kubernetes. Domain-driven design is at the heart … services at scale, and you know how they fail. Event-driven architecture: You’ve designed systems around asynchronous events, not just request and response. Kafka or equivalent. Comfortable close to production: You’re at ease shipping behind flags and watching a change land. You know what to instrument before ...

DevOps Engineer – Contract Location: London or Gloucester - onsite five days per week Duration: 12 months, from 1 November 2026 to 31 October 2027 Rate: £650 per day, Inside IR35 Clearance: Current, active and transferable enhanced ...

Software Engineer - Data Infrastructure - Kafka Canonical · London Licensed sponsor London On-Site Likely to sponsor About the role Canonical is building a comprehensive automation suite to provide multi-cloud and on-premise data solutions for the enterprise. The data platform team is a collaborative team that develops a managed … looking for candidates from junior to senior level with interests, experience and willingness to learn around Big Data technologies, such as distributed event-stores (Kafka) and parallel computing frameworks (Spark). Engineers who thrive at Canonical are mindful of open-source community dynamics and equally aware of the needs ...

Senior Java Backend Engineer (Spring Boot & Kafka) Pay rate: $78 $84/hr on C2C Location: Hybrid (Westlake, TX 3 Days In-Office/2 Days Remote) Duration: 12 Months Engagement: Corp-to-Corp (C2C) Work authorization: USC, GC, H1B, TN, GC-EAD Client: Leading US brokerage and wealth … core Java development (Java 17/21) using Spring Boot, Spring Data, and Spring Cloud. - Deep experience with event-driven architectures utilizing Apache Kafka (Producers, Consumers, Schema Registry). - Strong relational database skills in Oracle or PostgreSQL, including query tuning and indexing. - Hands-on experience with unit and integration ...

Should Have: Active eDV clearance (West) Willingness to work full time on site in Gloucester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply … ENGINEERING/DEFENCE/NATIONAL SECURITY/DATA STRATEGY/DATA PIPELINES/DATA GOVERNANCE/SQL/NOSQL/APACHE/NIFI/KAFKA/ETL/GLOUCESTER/DV/SECURITY CLEARED/DV CLEARANCE ...

scalable and robust data solutions within a modern cloud-based environment. This is an excellent opportunity to work with cutting-edge technologies including AWS, Kafka, Kubernetes, Java, and Big Data platforms , helping organisations unlock the value of their data. The Role As a Data Engineer, you'll be responsible … commercial experience in Data Engineering . Expert-level proficiency in Java . Advanced experience with Amazon Web Services (AWS) . Advanced experience with Apache Kafka . Advanced experience with Kubernetes . Experience working with Big Data technologies and engineering practices. Proven experience building and maintaining enterprise-scale data pipelines. ...

curate the integration patterns library, covering REST and GraphQL APIs, event-driven and pub/sub patterns, webhooks, message queuing and streaming (e.g. Apache Kafka, Amazon SQS/SNS, Amazon EventBridge), batch and near-real-time data exchange, and EDI. Architect API gateway strategy - including lifecycle management, versioning, consumer … just documenting them. Deep, hands-on technical expertise across the integration technology spectrum: REST and GraphQL APIs, event-driven messaging and streaming (e.g. Apache Kafka, Amazon SQS/SNS, Amazon EventBridge), API gateways (e.g. Amazon API Gateway, Kong), and iPaaS platforms (e.g. MuleSoft, Boomi, AWS Step Functions, or equivalent ...

curate the integration patterns library, covering REST and GraphQL APIs, event-driven and pub/sub patterns, webhooks, message queuing and streaming (e.g. Apache Kafka, Amazon SQS/SNS, Amazon EventBridge), batch and near-real-time data exchange, and EDI. Architect API gateway strategy - including lifecycle management, versioning, consumer … just documenting them. Deep, hands-on technical expertise across the integration technology spectrum: REST and GraphQL APIs, event-driven messaging and streaming (e.g. Apache Kafka, Amazon SQS/SNS, Amazon EventBridge), API gateways (e.g. Amazon API Gateway, Kong), and iPaaS platforms (e.g. MuleSoft, Boomi, AWS Step Functions, or equivalent ...

curate the integration patterns library, covering REST and GraphQL APIs, event-driven and pub/sub patterns, webhooks, message queuing and streaming (e.g. Apache Kafka, Amazon SQS/SNS, Amazon EventBridge), batch and near-real-time data exchange, and EDI. Architect API gateway strategy - including lifecycle management, versioning, consumer … just documenting them. Deep, hands-on technical expertise across the integration technology spectrum: REST and GraphQL APIs, event-driven messaging and streaming (e.g. Apache Kafka, Amazon SQS/SNS, Amazon EventBridge), API gateways (e.g. Amazon API Gateway, Kong), and iPaaS platforms (e.g. MuleSoft, Boomi, AWS Step Functions, or equivalent ...

direction and standards for the Salesforce team, and own the integration between Salesforce and our core operational systems — an event-driven architecture built on Kafka, with APIs. Role responsibilities Lead the design, development and delivery of solutions on the Salesforce platform, with deep hands-on Apex development. … integration architecture between Salesforce and operational systems, using Platform Events, Change Data Capture and our event streaming backbone (Kafka). Define and enforce engineering standards for the Salesforce team: code review, testing, CI/CD, deployment practices (source-driven development with SFDX/DevOps Center or equivalent), and release ...

Management and associated problems a plusAutomated test experience, Unit testing and Integration testingAn understanding of message-driven programming and messaging systemsExperience with FIX and Kafka a huge plusTo excel in this role, you will need a minimum of 7 years' experience in JVM, with proficiency in both Kotlin … including unit testing and integration testing, is also required. An understanding of message-driven programming and messaging systems, along with experience in FIX and Kafka, would be highly advantageous. If you are ready to take the next step in your career and make a significant impact in the world ...

including Market Risk, Credit Risk, Treasury, Finance, Reporting and desk tools. Design and maintain robust data schemas and serving contracts, including SQL, APIs and Kafka‐based distribution. Define data versioning and reproducibility patterns, including as‐of timestamps and run IDs, snapshots and incremental updates, with appropriate treatment of position … standards for data modelling, schema evolution, data quality, observability, testing and operational support. Build and operate solutions using relevant platform technologies, including ClickHouse, S3, Kafka and schema registry tooling. Work closely with stakeholder teams to understand their needs, propose solutions, explain trade‐offs and establish clear, dependable data contracts. ...