26 to 50 of 202 Kafka Jobs

around AWS is preferred or at least good exposure to a modern cloud environment and principles to development of cloud native software. Exposure to Kafka/MQ tech nice to have Exposure to Kubernetes/Docker etc. nice to have but not essential. Curiosity about AI-driven efficiencies ...

attention to detail. Excellent communication and collaboration skills. Nice to Have: Experience with containerized environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. ...

Financial Service industry. What You’ll Work With C# .NET Framework SQL Server WinForms desktop applications Azure infrastructure Legacy platform modernisation Automated testing Kafka Future platform direction includes: Docker/containerisation Modernised execution architecture Core Responsibilities: Maintain and improve the trading execution platform Refactor and enhance a long-lived ...

technical stakeholders. Nice to have Background in commodities, energy trading, power/gas or renewables markets. Experience with streaming and real‐time data (Kafka, Kinesis or similar). Familiarity with infrastructure‐as‐code (CloudFormation, CDK, Terraform) and observability tooling (Grafana, Prometheus, CloudWatch). What’s on offer Competitive base ...

financial services, or banking systems. Strong communication skills and a bias toward action and opinionated design decisions. Nice to Have : Familiarity with messaging systems (Kafka, RabbitMQ, etc.) Exposure to container security and performance tuning on OpenShift. Knowledge of payment gateways, ISO 20022, or SWIFT formats. • Collaborative, fast-paced ...

based workflows, code reviews, and CI/CD practices. Preferred Qualifications: Experience with Azure cloud services. Exposure to streaming or event-driven architectures (e.g., Kafka, Kinesis). Experience with infrastructure as code (e.g., Terraform) and containerisation (e.g., Docker, Kubernetes). Understanding of data governance, lineage, cataloguing, and security best ...

based workflows, code reviews, and CI/CD practices. Preferred Qualifications: Experience with Azure cloud services. Exposure to streaming or event-driven architectures (e.g., Kafka, Kinesis). Experience with infrastructure as code (e.g., Terraform) and containerisation (e.g., Docker, Kubernetes). Understanding of data governance, lineage, cataloguing, and security best ...

track record with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Strong proficiency in relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra). Deep knowledge of data ...

Desirable Skills/Experience Although not essential, the following skills are desired by the client: 1.Experience with microservices architecture and event-driven design (e.g., Kafka, messaging systems) 2.Knowledge of DevOps practices and CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps) 3.Familiarity with containerization and orchestration tools (Docker ...

documentation abilities. Experience using Pyomo, AMPL, Gurobi, CPLEX, or similar optimization tools. Working knowledge of containerization and cloud-native deployment. Familiarity with RabbitMQ/Kafka, microservice architecture, and distributed systems. ...

Experience with cloud technologies such as Azure, AWS or GCP. Desirable: Exposure to financial services systems or payments platforms. Relevant certifications (Oracle, RedHat, Microsoft, Kafka, etc.). To apply for this position please submit your CV. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment ...

transformation tasks across the engineering team Programmatically ingest large volumes of structured and unstructured data from REST APIs, streaming platforms (e.g. Event Hubs, Kafka), and legacy databases into ADLS Gen2 and OneLake Develop structured data models aligned to Lakehouse, Medallion Architecture, and Delta Lake patterns Continuously profile, debug ...

Gitlab, bitbucket, etc.) and automation services (e.g., Jenkins, Gitlab CI/CD, etc.). Experience with database technologies (SQL/NoSQL), messaging systems (e.g., Kafka, ActiveMQ), and/or data streaming technologies (e.g., CCSDS). Bachelor of Science degree from an accredited course of study in engineering, engineering technology ...

Domain experience in BFSI (risk, pricing, regulatory reporting, underwriting, fraud, payments, or actuarial data). Experience with event-driven and near-real-time pipelines (Kafka/Kinesis, streaming ETL). Knowledge of data quality frameworks (Great Expectations, Deequ) and data lineage/catalog (Atlas, Alation, Collibra). Exposure ...

Domain experience in BFSI (risk, pricing, regulatory reporting, underwriting, fraud, payments, or actuarial data). Experience with event-driven and near-real-time pipelines (Kafka/Kinesis, streaming ETL). Knowledge of data quality frameworks (Great Expectations, Deequ) and data lineage/catalog (Atlas, Alation, Collibra). Exposure ...

Senior Java Software Engineer - Java 11+, Spring, Spring Boot, Microservices, Kafka, Akka, Docker/Kubernetes, Real-time, TDD/BDD, Reactive Programming, MongoDB Payments A Senior Java Engineer with a background in finance/payments and experience working on distributed real-time systems is sought after by a global ...

Strong knowledge of DevOps - experience with CI/CD (Gitlab) • Experience dealing with highly scalable systems with high throughput • Experience with Postgres, Terraform, Kafka and Containers with be beneficial • Testing experience (TDD) • Excellent verbal and written communication skills Does this sound like an opportunity that might be of interest ...

version control, and automated delivery practices. Experienced with monitoring and observability tooling such as Prometheus and Grafana. Knowledge of data and streaming technologies including Kafka, MongoDB, MySQL, and PostgreSQL, plus PKI, secrets management, and IAM. Excellent communication skills. Nice to have: Puppet, KeyCloak, Vault, and experience supporting microservice architectures. ...

modern DevOps culture with CI/CD, automated testing, and infrastructure as code Tech stack: React, Node.js (Nest.js), Python/FastAPI, AWS (ECS), PostgreSQL, Kafka, Terraform, GitHub CI/CD Testing: Jest, Cypress, Pact, Pytest What they’re looking for: • Strong experience building distributed systems/microservices architectures • Deep ...

into high-quality code using Python, Scala, or Java. Innovation: Evaluate and implement new technologies across Cloud (Azure, AWS, GCP) and Big Data (Spark, Kafka) stacks. Collaboration: Work closely with business teams to define data flows and ensure security protocols (encryption/authentication) are met. Technical Toolkit Languages: Proficiency ...

infrastructure teams Technical Skills Architecture & Design: Microservices, event-driven architecture, domain-driven design (DDD), layered architecture Integration: RESTful APIs, OpenAPI specs, messaging systems (Kafka, MQ), asynchronous processing Cloud & Infrastructure: Cloud-native design, containerisation (Docker, Kubernetes), CI/CD pipelines Data: Distributed data systems, RDBMS/NoSQL, data modelling, data ...

cloud services (e.g., ECS, S3, RDS, Lambda) and a solid understanding of cloud architecture. Familiarity with event-driven systems and messaging frameworks (e.g., Kafka, RabbitMQ) is a plus. Excellent problem-solving skills, with the ability to work in a dynamic and evolving environment. Strong communication and collaboration abilities, with ...

Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning and AI on Databricks (desirable). ...

PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) SQL and NoSQL databases and storage (HDFS, Iceberg, Elastic, S3, Data Lake) Containerisation and orchestration (Docker/ ...

Experience Experience working with cloud platforms, ideally AWS. A strong Linux background. Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Previous experience working in a consultancy or public sector ...