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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…
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 DevOps engineer performs IT development and operations work. The development work is focused on creating and managing technologies needed for the interchange and processing of data. The operations work is focused…
Lead Pine Labs' data engineering function in Noida (office-based, 5 days/week): build and scale real-time pipelines with Kafka/MSK, Debezium and Apache Pinot, run data lakes on S3 with Iceberg, Glue and Athena, and ship Java/Python data tooling on AWS (ECS/EKS, Terraform) while mentoring engineers.
This is a remote position. We are seeking a Senior Data Engineer to build scalable, cloud-native data platforms and enable end-to-end MLOps workflows. You will design ETL/ELT pipelines, manage data…
Citi is seeking a Lead Market Risk Product Analyst to own the end-to-end user experience for market risk analytics across one of the world's most complex trading environments, translating petabyte-scale risk data…
Backend Engineer at Stripe building and maintaining core infrastructure systems like Compute, Networking, and Distributed Caching to support payment processing at scale.
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…
Senior Data Engineer building near real-time analytics and streaming platform solutions on AWS (Kinesis, Kafka, Flink, Redshift) using Scala/Python/SQL for a cloud communications SaaS company.
The Data Infrastructure Engineer will architect and deploy open-source data platforms like Trino, Spark, and Pinot on Amazon EKS. This hands-on role involves managing infrastructure as code to deliver high-performance, scalable data solutions for complex customer environments.
Software Engineer on Cisco's Webex Engineering Analytics team building and operating Kafka-based streaming applications, Spark/Flink data processing jobs, and scalable distributed big data systems.
Meet the Team Webex Data Analytics Platform (WAP) engineering organization is responsible for developing the big data platform at Webex. The platform forms the base on which other teams, including the WAP team, develop…
Sr. Data Engineer on Slack's Enterprise team at Salesforce, designing and scaling batch and real-time data pipelines, building scalable data models, and contributing to the GovSlack initiative. Core technologies include SQL, Python, Airflow, and data warehouse/OLAP environments.
Build and optimize high-performance data pipelines and OLAP systems for risk analytics using Java, Spark, and Hive to process petabytes of financial data.
Build and maintain high-performance data platforms for trading, ensuring real-time analytics, data integrity, and low-latency performance using cloud-native and streaming technologies.
This role involves architecting and building high-performance data pipelines and intelligent APIs to process massive-scale market risk analytics. The developer will work with Apache Spark, OLAP engines, and NLP to provide actionable insights for senior stakeholders in the financial sector.
Design and optimize high-performance SQL and NoSQL databases, including time-series and OLAP/OLTP systems, for a company building AI-enabled software-defined vehicles.
StarTree is seeking an SRE/Cloud Operations Engineer to maintain and scale their cloud-based analytics platform. The role involves monitoring services, troubleshooting production issues, and automating operational tasks using Kubernetes, Linux, and cloud infrastructure.
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