to quants and researchers What they are looking for: Experience in distributed data engineering at scale Strong coding skills in Python, C++ or Java Familiarity with kdb+, ClickHouse, Kafka, Parquet/Arrow Previous experience with tick-level financial data is a strong advantage More ❯
with 2+ years in Microsoft Fabric or related Microsoft Data Stack. Expertise in Power BI Datasets, Semantic Models, and Direct Lake optimization. Strong understanding of Lakehouse architecture, Delta/Parquet formats, and data governance tools. Experience integrating Fabric with Azure-native services (e.g., Azure AI Foundry, Purview, Entra ID). Familiarity with Generative AI, RAG-based architecture, and Fabric More ❯
Database, and PostgreSQL. Supporting innovation efforts by exploring new technologies such as vector databases to enable search and AI use cases. Using big data technologies like Kafka, Iceberg, and Parquet, along with managed databases including PostgreSQL and Oracle vector databases. Operating, monitoring, and maintaining Oracle Cloud infrastructure to ensure backend services are highly available, scalable, and secure. Collaborating with … NodeJS, Django, and FastAPI. Experience building flexible APIs using GraphQL. Expertise in at least one cloud platform and its managed data services. Familiarity with big data technologies such as Parquet, Iceberg, and streaming platforms like Kafka. Strong knowledge of database systems, SQL data model design, and query optimization. Experience with containerization using Kubernetes and Docker. Proven ability to deliver More ❯
