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Staff Software Engineer designing and scaling backend systems for Databricks' data and AI platform, working with distributed systems, cloud storage, and Scala/Kubernetes in Bengaluru.
Builds and scales Databricks' Lakehouse Platform backend services in Berlin, focusing on distributed systems, cloud storage integration, and high-performance data infrastructure.
Builds and scales backend infrastructure for Databricks' data and AI platform, focusing on distributed systems, cloud storage, and SaaS services using languages like Scala and Java.
Builds and scales backend infrastructure for Databricks' data and AI platform, focusing on distributed systems, cloud storage, and scalable services using languages like Scala and Java.
Designs and scales backend infrastructure for a data/AI platform, working on distributed systems, cloud storage, and Kubernetes-based services in Bengaluru.
Designs and builds distributed data storage and processing systems for Databricks' big data platform, focusing on Apache Spark, Delta Lake, and cloud storage backends like AWS S3 and Azure Blob Store.
Builds and optimizes distributed data storage and processing systems for Databricks' big data and AI platform, working on projects like Apache Spark, Delta Lake, and performance engineering.
Builds and optimizes distributed data storage and processing systems like Apache Spark and Delta Lake to power large-scale analytics and AI workloads on cloud platforms.
Designs, builds, and maintains scalable backend services for a large-scale data and AI platform, using Java/Scala, cloud technologies, and distributed systems.
Lead backend architecture for a scalable eCommerce platform, building microservices APIs, optimizing performance, and mentoring engineers using Python/Java/Go and cloud-native tools.
Backend Java developer working on space data processing and hybrid solutions for satellite ground systems, optimizing architecture and evolving solutions for image segment convergence.
Lead a data engineering team building and scaling security data pipelines for RBC Global Security, transforming raw security data into actionable intelligence via PySpark, Databricks, and cloud-native tools.
Senior Data Engineer at RBC Global Security builds and scales data pipelines to transform security data into actionable intelligence, leading a team of engineers while designing cloud-native architectures with PySpark, Databricks, and Terraform.
Designs and maintains AWS-based data platforms, focusing on Lake Formation, QuickSight, and serverless analytics. Uses Terraform, IAM, and cloud-native tools to build scalable data pipelines and secure enterprise solutions.
Senior Data Engineer builds and scales Snowflake-based data pipelines and warehouses for capital-markets clients, using AWS and ETL tools to deliver analytics-ready data products.
Designs, implements, and supports cloud-based IT systems for Lockheed Martin’s global operations, focusing on AWS infrastructure, automation, and cross-team collaboration to migrate legacy systems and enhance cloud services.
Builds and maintains scalable full-stack applications using TypeScript, PostgreSQL, and AWS, focusing on cloud-native architecture, API/microservices development, and DevOps best practices.
Cerchiamo Consulenti e Trainer Cloud & Data Engineering (Partita IVA) Hai una forte esperienza nel mondo Cloud e Data Engineering e ti appassiona condividere ciò che sai? Siamo alla ricerca di professionisti…
Builds and maintains scalable data pipelines and warehouses for Marti’s mobility platform, integrating ride-hailing, e-scooter fleets, and IoT systems to enable real-time analytics and decision-making.
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