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Builds and optimizes data pipelines for large-scale batch/streaming datasets (e.g., telemetry, unstructured data) to fuel AI/ML models and analytics, using Spark, Kafka, cloud platforms (AWS/Azure), and ETL tools.
Come change the way world processes streaming data The Amazon Managed Service for Apache Flink (MSF) team is looking for a Software Development Engineer to work on Apache Flink framework. We're looking for…
Lead a team to design, automate, and operate scalable ETL/data pipelines using Spark, Iceberg/Delta, and cloud tools, while mentoring engineers and improving data platform reliability and cost efficiency.
Maintains high-performance computing clusters and secure lab infrastructure for materials science and computational chemistry research, integrating cloud and lab systems.
Build and deploy AI/ML systems that personalize Yahoo Mail for 220M+ users, using NLP, GenAI, and agentic workflows while optimizing for scale and latency.
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on…
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description At Thermo Fisher’s PPD clinical research business (CRG), we’re using digital innovation, data science, and AI to reimagine how…
Design and build scalable ETL pipelines, data warehouses, and automation scripts in Python/SQL to support enterprise analytics for a defense contractor.
Design and automate test plans for a large bank’s corporate treasury systems, focusing on database, ETL, API, and data warehouse testing using modern frameworks and AI-driven automation.
FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers…
Leads reliability standards and engineering excellence for Apple’s large-scale data analytics infrastructure, including Hadoop, Spark, and Airflow, while mentoring teams and ensuring high availability.
Builds and maintains GPU clusters for AI training, improving reliability and efficiency while automating infrastructure for researchers at a general-purpose AI systems company.
Principal engineer at a supply-chain data/AI platform company, designing scalable data lakes, real-time pipelines, semantic layers, and AI/ML systems to power intelligent applications and decision-making.
Design and build a petabyte-scale, fault-tolerant cloud database and distributed data processing system using Java or C++ in a Linux environment.
Build and optimize a modern cloud-based data platform for a Nordic e-commerce group, migrating from on-premises to Azure and Microsoft Fabric while designing real-time and batch pipelines.
Build and optimize Ellos Group’s cloud-based data platform on Azure and Microsoft Fabric, migrating from on-premises to modern event-driven architectures with Kafka, streaming, and dimensional modeling.
Maintains and automates cloud-native and on-premise systems for AbbVie’s cybersecurity team, focusing on reliability, observability, and CI/CD pipelines in a hybrid cloud environment.
Senior Data Platform Engineer builds and maintains scalable data infrastructure and ETL pipelines for identity verification and fraud detection products using Python, Go, AWS, and distributed systems.
Build and optimize AI-driven ad targeting, delivery, and revenue systems using machine learning and analytics for a personalized content platform.
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