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Hands-on Data Engineer building and supporting ELT pipelines, dimensional models, and cloud-native data solutions using Snowflake and AWS.
Builds and maintains scalable data pipelines, models, and cloud infrastructure for Fire TV’s entertainment, advertising, and appstore analytics, ensuring high-quality business decisions via SQL, Python, and AWS technologies.
Data Architect on a major business transformation programme, designing enterprise data architectures, data models, integration patterns, and technical blueprints while collaborating with engineering and business teams. Core focus areas include data modelling, ETL/ELT, data warehousing, and modern cloud data platforms.
Designs and implements enterprise-scale data and analytics solutions, bridging business needs with technical execution using cloud platforms, ETL, and governance frameworks.
The Data Engineer will design and maintain scalable data pipelines and visualization systems using the Elastic Stack, Kafka, and AWS to support DISA operations. The role involves integrating complex data sources, optimizing system performance, and ensuring compliance with DoD security standards.
It’s a great time to join Velcro Companies ! Temporary Contract Assignment (minimum 6 months) Summary of Position Responsibility: This role will support the development and application of analytical models required to…
The Director, Enterprise Intelligence and Decision Support provides strategic leadership for Connecticut Children's enterprise intelligence, decision support, business intelligence, and data engineering functions,…
Обязанности: Настраивать загрузки и преобразования данных обеспечивать стабильность потоков и качество результатов. Требования: Опыт ETL/ELT знание SQL и Python понимание источников и целевых систем.
Reference no. R2867104 Position title: Lead Data and AI Engineer Department: US Commercial Data Engineering Location: Toronto, ON About the job Ready to push the limits of what’s possible? Join Sanofi in one of our…
We've made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, and innovate. We believe that every award earned, every record broken…
Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits? Our “people helping people” philosophy…
Key Responsibilities • Design and develop subject-specific data marts based on business requirements • Build and optimize ETL/ELT pipelines for data extraction, transformation, and loading • Develop dimensional models…
Position Database Engineer Location Toronto, ON (100% onsite) Employment Type New, Full-Time Permanent position Salary $110,000 - $125,000 (depending on experience) plus incentive compensation Hamilton ETFs is building…
FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and…
Who are we looking for? Se anima a todos los posibles solicitantes a que se desplacen y lean la descripción completa del puesto antes de presentar su candidatura. Are you an expert in the world of data engineering with…
Overview: La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto. WELCOME TO SITA At SITA, we keep airports moving, airlines flying…
About We are looking for a hands-on Analytics Engineer who can work across both data engineering and analytics/reporting. This is not a Power BI-only role. The ideal candidate should be comfortable owning data tasks…
Position Title: Big Data Senior Developer, Marketing & Advertising Data (French Services) (Telework/Hybrid) Status of Employment: Contractee Long-Term (Durée déterminée) Position Language Requirement: French…
Follo is seeking a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines and data infrastructure using Python, TypeScript, and Google Cloud Platform. The role involves integrating LLMs into data workflows and optimizing cloud costs while working in a hybrid environment.
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