301 to 325 of 2,853 Kafka Jobs

implementation of distributed data solutions using API and microservice-based architecture. Deep understanding of ETL/ELT architecture, streaming, and event-driven processing; familiarity with tools like dbt, Airflow, Kafka, or equivalents. Familiarity with mid-sized firm tech stacks, especially in financial services, including systems such as NetSuite, Salesforce, Addepar, Experience with Atlassian Jira or Microsoft DevOps and associated More ❯

implementation of distributed data solutions using API and microservice-based architecture. Deep understanding of ETL/ELT architecture, streaming, and event-driven processing; familiarity with tools like dbt, Airflow, Kafka, or equivalents. Familiarity with mid-sized firm tech stacks, especially in financial services, including systems such as NetSuite, Salesforce, Addepar, Experience with Atlassian Jira or Microsoft DevOps and associated More ❯

work. Expert Agile development practices and good experience at using tools like ADO, JIRA, GitHub Cloud Technologies, Containers (Docker, Kubernetes, Service mesh, Istio), Cloud-Native, Streaming Data tools like Kafka, Snowflake, AI/ML Data Science Preferred Qualifications: PREFERRED QUALIFICATIONS Prior experience in leading software development efforts, designing conceptual data models & system architecture, and user interfaces, is a major More ❯

our core languages – Java, Go, or Python. Proven track record of designing and building scalable microservice architectures. Deep understanding of event-driven systems and message queues (e.g. NATS, RabbitMQ, Kafka). Strong understanding of relational database design principles and SQL optimisation techniques. Experience designing and implementing RESTful APIs. Experience with relational databases (e.g., PostgreSQL). Solid understanding of data More ❯

our core languages – Java, Go, or Python. Proven track record of designing and building scalable microservice architectures. Deep understanding of event-driven systems and message queues (e.g. NATS, RabbitMQ, Kafka). Strong understanding of relational database design principles and SQL optimisation techniques. Experience designing and implementing RESTful APIs. Experience with relational databases (e.g., PostgreSQL). Solid understanding of data More ❯

of the business domain 8+ years of Software Development experience required 5+ years Java/Springboot Have practical experience with relational databases like Postgres Hands on experience working with Kafka Understanding of distributed systems architecture Understanding of multi-threading and concurrency Understanding of Docker and container orchestration Experience with AWS/Cloud native tooling Bonus Points: Experience in the More ❯

to query databases required. Expertise with DB process, data validation, transformation logics, and data migration. Knowledge of file storage in S3, data validation with clob, blob, and messaging system kafka, JMS preferred. Exposure to distributed source control systems such as Git. Experience with test data management techniques. Knowledge of Function as a Service, Container as a service, Data Virtualization More ❯

Social network you want to login/join with: Job Description Do you want to work on something that you, your friends, family, and hundreds of millions of others use every day, and actually makes you smarter about how you More ❯

Join to apply for the Senior Software Engineer role at Supermercados Guanabara Get AI-powered advice on this job and more exclusive features. Role: Senior Software Engineer, Data Solutions Location: Hybrid (2 days on-site in Telford) Salary: £70,000 More ❯

Get AI-powered advice on this job and more exclusive features. This range is provided by DGH Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct More ❯

Be an integral part of an agile team that's constantly pushing the envelope to innovate, build, enhance and deliver top-notch technology products. As a Software Engineer at JPMorgan Chase within the Strategic Growth Office and a part of More ❯

Role: Senior Software Engineer , Data Solutions Location: Hybrid (2 days on-site in Central London) Salary: £70,000 to £80,000 + Excellent Benefits Candidates must be eligible for UK Security Clearance The Opportunity We are proud to be working More ❯

Position Description: Red Arch Solutions is seeking a DevOps - Software Engineer in Annapolis Junction, Maryland. The Software Engineer shall play a key role in delivering fast, reliable, and secure deployments across a diverse range of HPC operating environments. The Software More ❯

Be an integral part of an agile team that's constantly pushing the envelope to innovate, build, enhance and deliver top-notch technology products. As a Software Engineer at JPMorgan Chase within the Strategic Growth Office and a part of More ❯

Bally's Corporation is a global casino-entertainment company with a growing omni-channel presence. It currently owns and manages 15 casinos across 10 states, a golf course in New York, a horse racetrack in Colorado, and has access to More ❯

Experience in coding or scripting within a commercial or industry setting, using languages such as Python, Java, Scala, or Go, along with SQL. Databases & Frameworks Strong experience working with Kafka technologies. Operational experience with related systems. Using Terraform Experience with CI/CD pipelines and associated tools/frameworks. Containerisation Good knowledge of container technologies such as Docker and More ❯

Kubernetes Service (AKS), Azure Functions, and Azure Event Hub to support millions of daily transactions. Lead the development of cloud-native applications using Java 11 , Spring Boot , and Apache Kafka , tailored for Azure environments. Microservices on Azure: Develop and maintain a microservices architecture using Azure Kubernetes Service (AKS) and implement deployment strategies leveraging Azure-native tools. Work closely with … Azure DevOps , automating testing, deployment, and monitoring workflows across cloud environments. Payment Workflow Optimization: Enhance payment processing workflows by optimizing Azure-based messaging systems using Azure Service Bus and Kafka to ensure real-time transaction handling. System Monitoring: Leverage Azure Monitor , Application Insights , and Log … Analytics to build robust monitoring, logging, and alerting solutions for proactive system management. Key Skills and Experience Extensive experience with Java 11 , Spring Boot , Spring JMS. Expertise with Apache Kafka and Azure Event Hub for high-throughput, low-latency data processing. Deep knowledge of Azure services including AKS , Azure DevOps , Azure Service Bus , Cosmos DB , and Blob Storage . More ❯

MongoDB. Understand and implement secure coding practices in line with OWASP guidelines. Collaborate in a Kubernetes-based environment. Integrate with identity and access management platforms (e.g., ForgeRock). Handle Kafka-based data streaming and understand Kafka architecture. Utilize enterprise-level Elastic solutions. Required Skills & Experience: 4–5 years of professional experience in Java development. Strong knowledge of Java … Spring ecosystem, and RESTful API architecture. Proven experience with web standards (HTML5, CSS3) and frontend tools. Experience with enterprise integration and microservices architecture. Familiarity with identity management, Kafka, Elastic Stack, and Kubernetes. Strong understanding of secure coding and performance tuning. Nice to Have: Prior experience in financial or enterprise-level environments. Exposure to Outside IR35 engagements. Knowledge of Agile More ❯

data from diverse sources, transform it into usable formats, and load it into data warehouses, data lakes or lakehouses. Big Data Technologies: Utilize big data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud … for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines and version control systems like Git. Knowledge of ETL tools and technologies … and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory More ❯

within transformation pipelines. Data Processing & Optimization: Build efficient, high-performance systems by leveraging techniques like data denormalization , partitioning , caching , and parallel processing . Develop stream-processing applications using Apache Kafka and optimize performance for large-scale datasets . Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows … Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana More ❯

within transformation pipelines. Data Processing & Optimization: Build efficient, high-performance systems by leveraging techniques like data denormalization , partitioning , caching , and parallel processing . Develop stream-processing applications using Apache Kafka and optimize performance for large-scale datasets . Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows … Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana More ❯

over 600 systems. We build these systems with industry standard frameworks and tools, such as React and Angular on the front end and 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. About The Job We’re looking … over 600 systems. We build these systems with industry standard frameworks and tools, such as React and Angular on the front end and 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. We’re a close-knit tech … and web services. Understanding of cloud platforms, ideally Google Cloud 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 experience leading and mentoring More ❯

within transformation pipelines. Data Processing & Optimization: Build efficient, high-performance systems by leveraging techniques like data denormalization , partitioning , caching , and parallel processing . Develop stream-processing applications using Apache Kafka and optimize performance for large-scale datasets . Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows … Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana More ❯

Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be a SPOC for all technical … Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools Senior Delivery Consultant Office: 02033759240 Email: psharma@vallumassociates.com More ❯

within transformation pipelines. Data Processing & Optimization: Build efficient, high-performance systems by leveraging techniques like data denormalization , partitioning , caching , and parallel processing . Develop stream-processing applications using Apache Kafka and optimize performance for large-scale datasets . Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows … Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with ELK stack (Elasticsearch, Logstash, Kibana More ❯