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Senior Data Engineer & Scientist Role Summary The Senior Data Engineer & Scientist is a highly skilled technical professional responsible for designing, building, and maintaining enterprise-scale data…
Senior engineer building Collibra-based governance and data-quality controls for a Capital Markets firm’s Azure cloud data platform, ensuring regulatory-ready, trusted data across reference, market, and operational domains.
Design and build a cloud data platform for an insurance client, using Azure services to power analytics, reporting, and AI solutions.
Senior Data Engineer – Microsoft Fabric & Data Integration - Pune/Chennai Location: IND-Pune-Smartworks, IND - Chennai, Neville Towers Remote Type: Hybrid (8 days/month) Time Type: Full time Job Description…
Build and maintain scalable data pipelines on Azure and Databricks for a client project, processing large data volumes to support analytics and reporting.
Build and maintain data pipelines and analytics infrastructure using SQL, Azure Data Factory, and Fabric to support corporate intelligence and due diligence solutions.
Principal Analytics Engineer - Analytics & AI Location: Eden Prairie, MN United States of America, Chicago, IL United States of America Remote Type: Hybrid Time Type: Full time Job Description At C.H. Robinson,…
Designs and builds data pipelines and warehouses using Snowflake, Python, SQL, and Azure Data Factory to process healthcare data.
Senior Business Systems Analyst designs and implements a new enterprise-scale data platform on Microsoft Azure, gathering requirements from stakeholders and translating them into technical specifications for engineering teams.
Design and build a new enterprise-scale data platform from scratch using Azure-native tools like Databricks, Synapse, and Fabric, leading architecture, standards, and delivery for a greenfield project.
Sales rep selling Microsoft’s data/analytics/AI solutions (e.g., Azure Synapse, Power BI, Fabric) to enterprise clients, focusing on consultative selling, pipeline growth, and deal closure in a global IT consulting firm.
Leads data platform implementations (warehouses, lakes, BI) while reviewing projects for quality and advising clients on fit-for-purpose analytics solutions using SQL, Python, and cloud platforms like Snowflake or BigQuery.
Designs and maintains data pipelines and infrastructure to power AI models for Singapore's land transport network, integrating real-time sensor feeds, transit data, and cloud-based systems.
Designs and maintains cloud-based data pipelines and ETL processes in Azure to move and transform financial data for analytics and operations.
Build and optimize a cloud data warehouse and ETL pipelines for an edtech startup, enabling scalable analytics and reporting over a two-month contract.
Build and scale enterprise data pipelines for retail analytics and AI/ML, integrating POS, ecommerce, and third-party data to power modeling and executive decisions.
Designs and operates a secure, scalable cloud data platform (Databricks, Snowflake, Azure/AWS) to power analytics and AI for a global wealth-management and asset-servicing firm.
Builds and maintains business intelligence solutions (Power BI, Tableau, SQL, Databricks) to analyze operational data, create dashboards, and support decision-making for a global semiconductor equipment manufacturer.
Build and maintain Azure Databricks data pipelines in SQL and Python, improving Delta Lake solutions for Finance and Risk teams.
Define and own the architecture for large-scale enterprise systems, data platforms, and AI integration in a regulated financial-services environment, using cloud-native stacks and modern data/AI tooling.
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