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Build AI-powered tools and integrations for a fintech platform that connects systems and automates workflows for private market investments.
Builds and scales Databricks' backend systems for log analytics, AI/BI, data governance, and app infrastructure, using Java/Scala/C++ and cloud technologies.
Designs and builds next-generation database engine internals for a unified data platform, focusing on query optimization, distributed execution, and storage systems using technologies like Apache Spark.
Builds and improves Databricks' full-stack data and AI platform, focusing on user experience, scalability, and distributed systems in Vancouver.
Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform specialized data warehouses.
Designs and scales backend systems for Databricks' data and AI platform, focusing on log analytics, AI/BI, or distributed data governance in Vancouver.
Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform traditional data warehouses.
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.
Solutions Architect at Databricks working in Field Engineering to help customers design scalable data architectures using the Databricks Lakehouse platform. Partners with Sales on account strategies, builds reference architectures and demos, consults on big data engineering, data pipelines, and ML projects using Spark, Delta Lake, and MLflow.
Solutions Architect at Databricks designs and implements data and AI solutions for customers using the Databricks platform, Apache Spark, and cloud technologies.
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.
Designs and builds next-generation database engine internals for a unified data and AI platform, focusing on query optimization, distributed execution, and storage systems using technologies like Apache Spark.
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.
Leads product strategy and roadmap for Databricks' Lakeflow data engineering platform, defining features for data ingestion, transformation, and streaming while collaborating with cross-functional teams to integrate Data Engineering across the company's data and AI portfolio.
Data Engineer - Expert Databricks role focusing on developing, maintaining and optimizing data pipelines with technologies like Python, SQL, Spark, Airflow, Kafka, and cloud platforms including Databricks for client data migration projects.
Builds and maintains ETL pipelines for a fintech firm’s decision-support system, focusing on data ingestion, Oracle loading, and Semarchy mappings to feed analytics.
Designs and manages Databricks-based ELT pipelines and data migrations, bridging business needs with technical execution in an agile data engineering role.
Whize est une filiale du groupe Neurones (7000 collaborateurs en France), spécialisée dans le domaine de la Data Intelligence et du développement de solutions sur mesure en architecture Serverless. Notre positionnement…
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