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Azure AI Data Architect designing and implementing enterprise-scale data platforms and AI/GenAI solutions on Microsoft Azure, partnering with stakeholders across client engagements at a global consultancy.
Overview Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a sense of ownership to your work? The Finance Data & Experiences (FD&E) organization is on a…
AI Engineer designing and deploying AI/ML solutions on Azure (Azure ML, Cognitive Services, Synapse) to optimize tax, audit, and advisory workflows at a large CPA and advisory firm.
Build and maintain cloud-based data platforms using IaC and CI/CD, ensuring reliability and scalability for advanced analytics and AI workloads.
Overview Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and ownership to your work? The Finance Data & Experiences (FD&E) organization is on a mission to…
Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky…
Van Spaendonck in Tilburg zoekt een Data Engineer die ons datateam versterkt en helpt bij het bouwen van datagestuurde oplossingen. Je hebt minimaal 4-5 jaar ervaring en stevige kennis van het Azure-ecosysteem,…
Build and maintain dbt-powered data models in Snowflake to support financial close and POS/payment reporting for a large Canadian enterprise.
Builds and maintains Azure-based data pipelines, ETL/ELT workflows, and data models for analytics, ensuring high-quality data via validation and documentation.
Migrate a large Azure Data Factory estate to Databricks workflows on AWS, rewriting pipelines as reusable templates and tuning PySpark transformations for production data volumes.
Build and optimize scalable data pipelines and analytics in Microsoft Azure and Fabric, from ingestion to insights, using PySpark, ADX/KQL, and Power BI for mission-critical aerospace software.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and…
The Senior Architect leads technical strategy and architecture for enterprise-scale Azure modernization programs. This role involves guiding delivery teams, mentoring staff, and supporting presales activities while maintaining deep expertise in Azure cloud platforms, application innovation, or data and AI.
Designs and runs automated tests for cloud-based data pipelines and warehouses, validating data accuracy, completeness, and transformations using SQL, PySpark, and Azure Synapse.
ING Hubs Philippines is seeking a Cloud Data Test Engineer to ensure the quality of cloud-based data solutions. You will perform hands-on data testing, validate data pipelines, and verify data formats across Azure or…
The Senior Data Engineer will design and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure high data quality across the organization.
Data Engineer will design and implement data pipelines in Microsoft Fabric, integrate diverse data sources, transform batch data, and ensure data quality/validation. Core tech: PySpark, SQL, Delta/Parquet, Azure Synapse, and Git-based workflows.
DevOps Engineer automates cloud deployments, CI/CD pipelines, and identity management (Azure AD, Okta) to ensure resilient infrastructure and secure access for XTEL’s AI-driven consumer goods solutions.
Builds and maintains scalable data pipelines using Microsoft Fabric, Azure Synapse, and PySpark to process large datasets, integrating diverse sources like Excel into a layered architecture for production-grade analytics.
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