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Designs and builds scalable data pipelines, ETL/ELT processes, and cloud-native data warehouses to support enterprise analytics and reporting using Azure, AWS, or GCP.
Build trusted data products that power enterprise decision-making for a South African financial institution, transforming raw data into analytics-ready datasets using SQL, ETL/ELT, and cloud platforms like Azure and Databricks.
Build AI-powered analytics apps that turn conversational queries into root-cause insights and recommendations, owning the metrics semantic layer, attribution engine, and data quality for a Hong Kong licensed financial firm.
Build and improve data-loss-prevention, endpoint detection, and threat-modeling systems for a global crypto exchange, using Linux/macOS, big-data tools, and enterprise security platforms.
Designs and builds scalable data pipelines and warehouses to feed AI models, ensuring data quality, governance, and integration across systems.
Lead a BI/DWH modernization project, analyzing legacy SQL Server/SSIS environments and building modern cloud data pipelines using Microsoft Fabric, Azure, Databricks, or Snowflake.
Build and maintain scalable Azure-based data pipelines and warehouses using Python, SQL, and modern data engineering practices to enable AI-driven analytics for global enterprise clients.
Advises clients on secure AI data governance, assessing risks in data warehousing, access control, and cloud architecture while translating technical concerns into actionable business decisions.
Business Analyst defining and testing sanction-screening systems for banks, translating compliance rules into technical requirements and ensuring alignment with KYC/FEC regulations.
Менеджер по инжинирингу признаков отвечает за преобразование исходных городских данных — геопространственных, IoT, транзакционных и административных — в качественные, хорошо документированные и переиспользуемые…
Leads the design, build, and delivery of a modern customer data platform for a major transformation program, focusing on data architecture, modeling, synchronization, and integration to support billing and CRM capabilities.
Build automated financial and operational reports by integrating ERP data with Power BI, SQL, and Dynamics 365 to deliver actionable insights for leadership.
Build and deploy GenAI and agentic AI systems for pharma clients using Microsoft Copilot Studio, ChatGPT Enterprise, and AWS Bedrock, integrating structured and unstructured data pipelines.
Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the…
Owns and improves data-management processes for asset-distribution data, defining quality rules, validating flows, and resolving issues to support reporting and analytics in a global asset-management firm.
Build and maintain AI platforms on AWS for AstraZeneca’s scientists, integrating vendor tools like Databricks and Domino and automating cloud-native deployments with Terraform and CI/CD.
Leads a tiger team to modernize AI/ML platforms, integrating LLMs (RAG, embeddings) and automating data pipelines for customer identity resolution, while mentoring teams on next-gen AI development and .NET/React-based infrastructure.
Builds and maintains secure data pipelines, semantic models, and Power BI reports in Microsoft Fabric, ensuring governed, scalable analytics and AI-ready data layers.
Lead enterprise data governance at Trimble, building automated, federated practices to certify high-quality data assets and enable AI-driven analytics across construction, geospatial, and transportation sectors.
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