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Build and optimize large-scale ad analytics pipelines using Spark, Airflow, and Trino to power Roku’s ad measurement and reporting systems.
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…
About the Role: The Software Asset Management product empowers organizations to manage software licensing and compliance with precision. Our engineers build performance-efficient algorithms that help customers achieve…
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…
Staff Software Engineer on PlayStation's Data Platform team, designing and operating large-scale real-time analytics and stream processing systems (RTAP) using Apache Flink, Spark, ClickHouse, Druid, Kafka, and Python/Scala.
Senior Data Engineer building secure, automated, scalable GCP data pipelines using Python, Apache Airflow, Apache Druid, and Spark for a global ad-tech DSP platform.
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.
Build and optimize high-performance data pipelines and OLAP systems for risk analytics using Java, Spark, and Hive to process petabytes of financial data.
Designs and manages scalable data infrastructure and analytics pipelines for LSEG’s global financial markets infrastructure, leveraging big data tools (Spark, Kafka) and cloud platforms to enable data-driven decision-making and real-time insights.
Designs and builds scalable data platforms and real-time analytics solutions using technologies like Apache Druid, Kafka, and Flink to process billions of events for enterprise clients.
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.
Senior Data Engineer designing and maintaining scalable data pipelines for telecommunications CDR processing, real-time ingestion, and analytics using Kafka, Spark, Flink, NiFi, and other big data tools on-prem in Johannesburg.
Staff Software Engineer at Imply builds and maintains backend services and Apache Druid features for Imply Lumi, a high-performance observability warehouse. Focuses on Java-based microservices, database engineering, and cross-team collaboration to deliver scalable, cost-efficient data solutions for observability and security data.
Senior Software Engineer focused on enhancing the Apache Druid query engine and storage system for high-performance observability data processing, including SQL planning, query optimization, and distributed execution.
Builds and maintains scalable data pipelines and infrastructure for analytics, leveraging Kubernetes, Spark, Kafka, and cloud-native tools to enable real-time and batch data processing.
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.
Lead the architecture and evolution of PlayStation’s real-time data platform, building scalable streaming analytics with Flink, Spark, ClickHouse, and Kafka to power low-latency analytics and AI-driven automation.
Build and optimize Imply’s Druid-based analytics database, enabling developers to create scalable, interactive data experiences on streaming and batch data.
Lead the design and operation of large-scale real-time data platforms using Python, Apache Flink, and Kafka to power analytics for PlayStation. Mentor engineers and solve distributed systems challenges.
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