126 to 150 of 281 Kafka Jobs

Solution Architecture. 5+ years in Banking/Financial Services, preferably Payments. Strong expertise in microservices architecture, cloud platforms (AWS/Azure/GCP), containers, Kafka, and distributed systems. Proven experience designing high-throughput, low-latency applications. Strong background in architecture governance , design reviews, and decision documentation. Experience working across ...

familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices ...

python Responsibilities will include maintaining current Flink clusters, responding to customer support requests Top 5 skills Flink operational or development exp Big data environment - Kafka, Hadoop or Storm preference. either of these is mandatory Distributed systems experience Java programming exp required for the development role. HM Notes: We need ...

pandas, NumPy, scikit-learn) and SQL. Experience in data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). Excellent communication skills for technical and non-technical stakeholders. Exposure to financial services or willingness ...

query optimisation. Preferred Qualifications Snowflake certifications (SnowPro Core or Advanced). Experience with DBT Cloud and custom macros. Exposure to real-time streaming (Kafka, Kinesis). Familiarity with data observability tools and BI integrations (Tableau, Power BI). On offer Opportunity to work with modern data technologies and large ...

Deep knowledge and usage of SQL (Oracle or PostgreSQL dialects is preferable) 10. Nice-to-Have Skills Description: 11. Experience with Messaging Systems: RabbitMQ, Kafka, etc. 12. Experience with Kubernetes and Docker Note: If you are interested, please share your updated resume and suggest the best number & time ...

lives. Nice to have Exposure to Node.js/NestJS services (or similar), authentication flows, and fintech integrations. Familiarity with Postgres , event-driven systems (e.g., Kafka ), and cloud infrastructure (e.g., AWS , Docker, CI/CD). How You’ll Make a Difference Build core mobile features: Deliver secure, scalable React ...

Excellent communication, problem-solving and documentation skills Desirable: Experience with cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ML data ...

last 5–6 years, with further scaling planned.This is business-critical software, reliability, accuracy and performance genuinely matter.The technology: Java, Springboot, Microservices, AWS, Kafka, CI/CD.The role goes beyond writing code, you’ll contribute to system design, architectural decisions, and long-term platform evolution.What they’re looking ...

Scala/C++ a plus) Experience with orchestration and workflow tools (Airflow, Cloud Composer, Dagster, etc.) Familiarity with modern data stack components (BigQuery, dbt, Kafka/PubSub, Spark, etc.) Knowledge of data security, access control, and best practices for handling sensitive data Experience collaborating across engineering, analytics, and product ...

drive technical initiatives, influence the team's direction, and guide key architectural decisions Hands-on experience with event-driven architectures, and message brokers like Kafka or ZeroMQ - you know how to keep data flowing seamlessly Bonus points if you've worked with AWS, have an interest in crypto, blockchain ...

Azure Data Factory) Solid understanding of data warehousing and big data concepts Preferred Qualifications Experience with real-time/streaming data (Spark Structured Streaming, Kafka, etc.) Knowledge of CI/CD for data pipelines Experience supporting machine learning pipelines Databricks or cloud platform certifications To apply for this role ...

handling large-scale structured/semi-structured data. Strong problem-solving, optimization, and debugging skills. Good to Have Skills Knowledge of AWS Lake Formation , Kafka/Kinesis , Airflow , or Delta/Apache Hudi . Experience with ML workflows in telecom (churn, network prediction). Exposure to 5G network data ...

components, or Python for data and ML workflows. Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka , ZeroMQ , NATS ). Systems-Level Intuition: You are comfortable debugging and profiling at the OS level, understanding memory management, CPU architecture, and network stack ...

warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that explore, capture, transform, and utilise data ...

Node.js) Experience with AWS, Linux, ReactJS, MySQL (RDS), Elasticsearch Ecommerce & payment solution design experience, including Order-to-Cash Middleware and event-driven systems knowledge (Kafka) Experience enabling AI across design, development, and testing Nice to Have: Netlify, Noibu, Constructor ...

communications across multiple digital touchpoints Collaborate with Product, Data, Marketing, and Engineering teams across multiple locations Tech stack Node.js (TypeScript), Ruby Event-driven systems (Kafka), APIs AWS/GCP, Kubernetes Why it’s exciting Work at scale in a high-traffic, consumer-facing environment Strong engineering culture: automated testing ...

around code quality, testing and reliability Participate in team support and operational responsibilities Technology Environment Core Java (deep JVM knowledge – minimal reliance on frameworks) Kafka & event-driven architectures Low-latency, high-throughput systems Kubernetes (services, deployments, stateful sets) Terraform Hazelcast/Hazelcast Jet (bonus) Get in touch! - Darnell@Thyme.Global ...

business-critical pre-trade platform. What you'll need to succeed : Extensive Java development experience within investment banking or commodities - must have. Extensive Kafka experience. Working knowledge of Python frameworks, e.g. Django, Flask, Pandas etc. Strong experience with data streaming standards and design patterns. Good knowledge of Microsoft ...

familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices ...

test suites Proficiency with Unix-like operating systems Knowledge in tools and techniques for web development Desirable Experience Jackson, JAX-RS, Mockito, ActiveMQ or Kafka MongoDB or other document databases High-traffic website scaling Handling large data sets Closing Statement: If you would like to discuss further about this ...

with digital twin frameworks (topology/graph modeling, intent-based orchestration), AIOps platforms (anomaly detection, noise reduction, predictive insights), and streaming/data pipelines (Kafka, Pub/Sub, Dataflow) Familiarity with cloud-native (GCP/Azure/AWS), Kubernetes, API-first integration, and observability stacks (metrics, logs, traces) Experience ...

client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations ...

object-oriented programming, data structures, and design patterns. Familiarity with market risk, credit risk, or counterparty risk concepts. Experience with messaging systems (e.g., Solace, Kafka, or RabbitMQ) and distributed architecture. Solid understanding of multi-threaded and low-latency system design. Exposure to quant libraries, risk factor decomposition, or sensitivities ...

skilled in practices like TDD, CI/CD, IaC and Observability. Skills: TypeScript/Node.js Backend APIs AWS or GCP Streaming systems experience (Flink, Kafka, Kinesis, Spark etc.) In return, you'll be given real ownership in an early-stage start-up environment where you can shape direction ...