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Build and maintain ETL/ELT pipelines, data warehouses, and AI-ready data flows for Mastercard’s payment and analytics platforms using Snowflake, SAP HANA, and cloud-native tools.
Build and optimize data pipelines, warehouses, and ETL/ELT processes using Python, SQL, and cloud platforms like GCP or Azure to support analytics and modeling teams.
Job Description – Senior Data Engineer / Consultant About GyanSys: GyanSys is a global systems integrator and technology consulting company that helps enterprises accelerate digital transformation through SAP, Cloud,…
Develops and maintains Azure Data Factory pipelines for enterprise data integration and ETL workflows.
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.
Build and maintain scalable data pipelines using Spark, Azure Synapse, and Databricks to feed Manulife’s Enterprise Data Lake, ensuring reliable analytics for insurance and financial operations.
Build and maintain enterprise-scale data pipelines on Microsoft Azure, enabling reliable, secure data flows for analytics and decision-making across Rabobank’s agribusiness-focused operations.
Lead cloud data-architecture projects for banking clients, designing Azure/AWS-based data pipelines, warehouses, and analytics solutions using Spark, Kafka, and Snowflake.
Build and maintain cloud-native data platforms in Azure, Databricks and Fabric to enable analytics, ML and GenAI across a wealth-management business.
Senior .NET engineer builds and maintains cloud-native apps on Azure using C#, SQL, and serverless services, partnering directly with clients.
Designs enterprise-scale data and AI solutions using Microsoft Fabric, Azure, and Power BI, advising clients on cloud strategy and AI adoption.
Designs and leads the migration of enterprise workloads to Azure, builds data/AI platforms, and sets cloud architecture standards for a top accounting firm.
Build and maintain cloud-based data pipelines using Snowflake, SQL, and ETL/ELT tools to feed analytics and reporting systems.
We are looking for a skilled Data Engineer with strong DBT experience to design, develop, and optimize scalable data transformation pipelines on modern cloud data platforms. The ideal candidate should have hands-on…
Design and lead Campbell’s enterprise data platform using Databricks, Azure, Delta Lake, and Medallion Architecture to build secure, governed data solutions that power analytics and business decisions.
Lead QA for enterprise integrations, EDI workflows, APIs, and ERP systems at a fast-growing construction tool manufacturer, defining automation and performance testing strategies.
Lead the design and delivery of advanced data, analytics, and AI solutions using the Microsoft technology stack.
Build and maintain Azure + Snowflake data pipelines using Python, SQL, and Azure Data Factory, while collaborating with AI coding agents in a modern, AI-native engineering workflow.
Manager, Data Management Location: Remote, UNAVAILABLE, US Employment Type: FULL_TIME Overview Internova Travel Group is one of the largest travel services companies in the world with a collection of leading brands…
Build and maintain data pipelines and warehouses using Microsoft tools, migrating legacy SAS logic into modern SQL-based solutions for trusted analytics and reporting.
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