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Designs and optimizes enterprise data platforms for analytics and AI, focusing on scalable, secure data pipelines, lakehouses, and warehouses using Microsoft Fabric and Azure.
Machine Learning Engineer at Manulife designing, building, and operating ML/AI platforms and pipelines from experimentation to production at scale, using Python, CI/CD tools, Docker/Kubernetes, Terraform, and Azure cloud services.
The Data Engineering Lead will design, build, and manage enterprise-scale data platforms and pipelines to support business intelligence and analytics. The role involves technical leadership, mentoring, and ensuring data quality and security using cloud-native technologies like AWS, Azure, Snowflake, and Databricks.
Description Cloud Data Architect - AWS-focused About BIP BIP is an international consultancy specialising in business transformation, technology and innovation. We work with leading organisations to solve complex…
The Principal Data Engineer will lead the design and hands-on delivery of a modern cloud-based data platform using Databricks, AWS, and dbt within a financial services transformation programme. This role requires a blend of technical leadership, stakeholder management, and active participation in building scalable data pipelines and Lakehouse architectures.
Azure Data Engineer at TCS designing and developing ETL/ELT data pipelines using Azure Databricks, Azure Synapse, and Azure Data Factory on the Azure cloud platform.
Leads enterprise data governance programs for a government agency regulating alcohol, gaming, and cannabis sectors, developing policies, frameworks, and processes to ensure compliant, high-quality data management and strategic use of data assets.
Build and deploy production-grade ML and GenAI systems for insurance, banking, and wealth management using Python, MLOps, and cloud-native tools.
Builds and maintains scalable backend services and AI-powered systems for a government tech platform, focusing on Python, APIs, cloud infrastructure, and secure integrations.
The Director of Data Platform Engineering will lead the strategy and engineering for the Global Transaction Banking data platform, utilizing Databricks to support analytics, AI, and transaction banking. This leadership role involves managing global engineering teams, overseeing platform architecture, and driving modernization initiatives.
Design, build, and maintain scalable cloud-based data solutions (Snowflake, Fivetran, Coalesce) that integrate enterprise source systems and deliver trusted datasets for Tableau reporting and analytics at a children's mental health nonprofit.
Interim Senior Data Engineer building a central Azure-Databricks data platform for a Dutch municipality—connecting source systems, developing ETL processes (including spatial), and training internal staff on data engineering.
Design and maintain formal ontological architectures enabling cross-organizational data alignment for a healthcare supply chain platform, using OWL 2, SPARQL, knowledge graphs, and LLM-assisted ontology pipelines.
Data engineer designing semantic data layers, graph schemas, ontologies, and RAG pipelines on AWS (S3, Glue, Aurora, Neptune, Bedrock) to power enterprise-scale AI systems.
Additional Location(s): N/A Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in…
Our Story & Purpose: We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo…
Designs and maintains PayJoy’s global data architecture for customer support analytics, focusing on Medallion Architecture, semantic layers, and scalable pipelines with Databricks/dbt.
Application and Interview Impersonation Notice : Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with…
Lead the architecture and implementation of enterprise metadata management solutions using Ab Initio Metadata Hub, Databricks, Unity Catalog, and Delta Lake, focusing on metadata governance, lineage, stewardship, and impact analysis.
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