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Design and optimize scalable data pipelines and transition to a Data Mesh architecture for a betting platform using Spark, Python/Scala, and cloud-native services.
Design and maintain scalable data pipelines for Grab’s lending business using Flink, Spark, Kafka, and AWS services to deliver real-time metrics and analytics.
Design and build enterprise data warehouses, lakes, and BI pipelines to deliver analytics and dashboards for government clients.
Senior Data Engineer builds serverless AWS pipelines and data models to power AI/ML and analytics for ParetoHealth’s healthcare cost-reduction platform.
METAS sucht Informatiker/in EFZ mit HF/FH zur Betreuung der Serverinfrastruktur, primär Microsoft-Technologien, teils Linux, und zur Weiterentwicklung der IT-Landschaft am Standort Bern. Sie arbeiten an Data…
The Data Engineer will develop and maintain ETL pipelines to support Stars Analytics, focusing on improving healthcare outcomes and reducing costs. The role involves integrating data from various sources using Python, SQL, and cloud-based big data platforms in a hybrid work environment.
Designs, builds, and maintains cloud-based data pipelines for FATCA, CRS, and PTR regulatory reporting, ensuring accurate, compliant, and timely data delivery.
Designs, develops, and optimizes cloud-based data platforms using Snowflake, SQL, and tools like Apache Airflow and dbt to build scalable ELT pipelines and support enterprise analytics.
Build and maintain Snowflake-based data pipelines using Apache Airflow and dbt, optimizing SQL queries and modeling data for analytics.
We’re looking for a Senior Data Engineer (7+ years of experience) to join a project for a client in the energy industry. What you’ll do Design, develop, and improve data pipelines within an Azure Data Platform…
Build and maintain scalable data pipelines and warehouses for a fast-growing mobility app, using Python, Spark, Kafka, and cloud data warehouses like Snowflake.
Join our Team About this opportunity: As a Data Engineer in the HWM Data Management & Visualization team, you will play a key role in designing, developing, and maintaining scalable data solutions that…
Senior data engineer builds and maintains a data platform for a Brazilian education company, using distributed processing, cloud infrastructure, and modern data stack tools.
Build and maintain AI-driven data products like agents, chatbots, and automated query systems for an edtech company, using Python, SQL, and cloud tools.
Daylight is a security services company delivering Managed Agentic Security Services (MASS), including MDR, threat hunting, security data lake, and more, through a fundamentally different architecture than traditional…
Builds and maintains the full-stack platform for an AI-native security services company, integrating detection, response, and threat-hunting workflows.
Senior Frontend Engineer at Daylight Security in Tel Aviv, designing and building core product features in a high-performance, scalable environment while leveraging AI-native tools and practices to improve velocity, quality, and user experience.
Builds and scales the backend of an AI-native security platform that automates threat detection and response, integrating identity and business context to reduce manual work for security teams.
Sales Engineer acting as the technical voice of the sales team at a managed security services provider, running demos, guiding enterprise security leaders through technical evaluations, and supporting RFPs for a MDR/MASS platform.
Designs and builds Databricks-based data integration solutions to ensure reliable, compliant, and accessible data for clients in sectors like public administration, finance, and manufacturing.
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