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Intern in PwC’s cybersecurity team helping clients assess risks, design controls, and align systems with security frameworks and privacy regulations.
Location: Toronto Address: 100 Queens Quay East Toronto, Ontario M5E 1V3 Canada Job Title: Manager, Advanced Analytics & BI Canada Goose isn't like anything else. We've built something great, something…
In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of…
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on…
Design and maintain enterprise-scale data pipelines using Azure Data Factory, Databricks, and DBT to ingest and transform structured and unstructured data for analytics and business intelligence at PepsiCo.
Design and build scalable HR data solutions on Azure Databricks and Data Factory, using Spark, SQL, and DevOps practices.
Job Description: As a Senior SQL and Data Engineer, you will own the data tier that everything else in this platform depends on. You will design the denormalized read models and snapshot tables that let a composed…
Designs and maintains Azure cloud infrastructure for a beauty company’s enterprise systems, provides frontline IT support in the New York office, and ensures secure, scalable cloud operations.
Builds fraud/AML monitoring systems using Azure Databricks, Power BI, and Python/SQL to detect suspicious transactions by integrating transactional and customer data across cloud pipelines.
Design and implement scalable Microsoft Fabric and Azure data platforms for enterprise clients, guiding architecture, governance, and hands-on delivery of Lakehouse, Data Warehouse, and Real-Time Intelligence solutions.
Designs and builds scalable data pipelines and platforms using Microsoft Fabric, Azure Data Factory, Python, PySpark, and SQL to enable analytics and AI for enterprise clients.
Build and maintain scalable data pipelines and infrastructure to power AI models for Singapore’s transport network, ensuring high-quality, real-time data from sensors and systems.
Designs and oversees enterprise-scale data pipelines and ontology in Palantir Foundry to power analytics and AI workflows for national-security missions.
Designs and maintains an Azure-based Cloud Data Platform for an insurance client, focusing on data architecture (Medallion model), Silver/Gold data layers, and AI/ML data products while leading technical teams and ensuring data quality/governance.
Principal Software Engineer leads a team building Microsoft’s next-gen data integration service (Azure Data Factory, Power Query) that moves large volumes of data with low latency while mentoring engineers and shaping product vision.
Build and maintain scalable data pipelines and models for an AI-driven insurance platform using .NET, Python, Spark, and Azure tools to power dashboards and analytics.
Sell Microsoft’s data, analytics, and AI solutions to enterprises, building pipelines by consulting with CIOs/CDOs and closing complex consulting deals.
Build and run AI automation pipelines that integrate CRM, finance, and support systems using Azure AI Foundry, Python/C#, and Power BI to turn AI demos into production systems with measurable impact.
Lead a team of 8–15 engineers to design, build, and optimize cloud-based data pipelines and lakehouse architectures using Python, PySpark, Databricks, and cloud platforms like Azure/AWS/GCP.
Build and maintain Greystar’s Databricks-native data platform on Azure, administering Unity Catalog, optimizing Spark jobs, and enforcing medallion architecture standards for reliable, cost-efficient enterprise analytics.
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