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Meet the Team Cisco's Webex Engineering Group is redefining the future of collaboration. We're building a world where people connect effortlessly to enjoy modern, uncompromised collaboration across every room,…
Meet the Team Cisco’s Webex Engineering Group is redefining the future of collaboration. We're building a world where people connect effortlessly to enjoy modern, uncompromised collaboration across every room,…
Senior data engineering lead for Cisco Webex's Partner Hub analytics ecosystem: defines the technical roadmap and architecture for high-scale analytics, builds streaming and batch data pipelines with Apache Pinot, Iceberg, Flink, and Spark, and mentors engineers while setting standards for data quality, governance, and reliability.
Design, implement, and maintain scalable data pipelines for streaming and batch processing within Cisco's Webex Engineering Group. You will work with technologies like Apache Pinot, Iceberg, Flink, and Spark to power analytics for collaboration products while leveraging AI coding tools to enhance productivity.
Senior UI developer at Citigroup building and maintaining Angular-based applications for the Fixed Income Sales and Trading desks, including real-time WebSocket messaging for high-performance trading. Core stack: Angular 15+, Node.js, Docker, Web Services, and Git, with full SDLC ownership.
Senior UI/Angular Developer on Citi's Fixed Income Trading Services team, building and supporting applications for the Par Loan Trading business. Day-to-day involves full-cycle development—analysis, design, coding, testing, deployment—of real-time trading apps using Angular, Node.js, Docker and WebSockets, plus mentoring junior analysts.
Citi is looking for a Senior Java Architect to lead the design and engineering of enterprise-scale data platforms that drive advanced analytics, operational dashboards, and data visualization across the organization.…
Lead Backend Data Engineer who designs and builds scalable Java backend systems and big data pipelines (Spark, Airflow, Kubernetes), leads distributed-systems architecture for high-volume data processing, mentors engineers, and supports production deployments with observability tooling.
Lead backend data engineer who designs and builds scalable Java backend systems and large-scale data pipelines (Spark, Airflow), runs them on Kubernetes, and mentors other engineers. Requires 5+ years in backend engineering with deep distributed-systems, multi-threading/concurrency, and SQL expertise; advanced English for global teams.
Senior Data Engineer on the Analytics & Data Platform team of an AI-powered customer communications company, designing and delivering scalable, low-latency near real-time streaming analytics for 22,000+ customers. Core stack: AWS (Kinesis, Kafka, Redshift, EMR, EKS), Apache Pinot, Flink, Airflow, with Scala/Python/SQL.
Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals,…
At StarTree we're a group of passionate individuals that desire to improve the lives of many by developing tools and technologies that support availability and speed in the world of real-time analytics. Our aim is…
Role Purpose: We are looking for a highly skilled and motivated Data engineering leader with 5-10 years of experience to join our growing team. You will create data pipelines to move data from source to data lake,…
Backend engineer on Stripe's Infrastructure organization in Toronto, designing, building, and shipping code for critical platform areas like core infrastructure, developer tooling, data platform, and internal services. Day-to-day work involves writing high-quality Go/Java/C++ code, building large-scale distributed systems, and debugging production issues across the stack.
Job Description: Job Title: Technical Lead, Data Engineering (RIO_OSS) Location: Bangalore (Hybrid) Why should you choose us? Rakuten Symphony is reimagining telecom, changing supply chain norms and disrupting outmoded…
Build and scale Apache Pinot’s distributed data platform, designing low-latency OLAP systems and fault-tolerant services for real-time analytics at massive scale.
Building high-scale, low-latency streaming data pipelines deployed on infrastructure we run ourselves (on-prem), not managed cloud services. You will design and operate high-volume real-time data systems end to end,…
Building high-scale batch and near-real-time data pipelines deployed on infrastructure we run ourselves (on-prem), not managed cloud services. You will design and operate high-volume analytical data systems end to end,…
The Opportunity: Are You Ready to Build the Future of Risk Analytics? Want to solve one of the most challenging big data problems in finance today? Are you excited by the idea of working directly with front-office and…
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