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Join our dynamic Data Analytics and Emerging Technology team at KPMG and unlock your full potential! As part of our Audit and Assurance division, you'll be at the forefront of delivering cutting-edge technology…
Principal Data Engineer designing and evolving American Tower's cloud-native enterprise data platform—building batch/streaming pipelines, enforcing data governance, setting engineering standards, and mentoring teams using SQL, Python, Spark, and major cloud platforms.
Design and deploy enterprise-scale ML systems and knowledge graphs for Dell, building agentic AI applications, RAG pipelines, and semantic data layers using Neo4j/Stardog and distributed data tech.
The Sr Fleet Analyst will develop analytics and KPIs to drive continuous improvement and strategic direction of the fleet, creating dashboards and reports. They'll use tools like SQL, Python, Tableau, and AI technologies to monitor fleet performance and provide insights to leadership.
This role involves developing and deploying advanced AI and machine learning models to drive commercial analytics and business effectiveness within a healthcare context. The analyst will utilize Python, SQL, and Snowflake to process healthcare datasets and provide actionable insights for cross-functional teams.
The Data Engineer will design and implement scalable data pipelines, data warehouses, and semantic models to support enterprise analytics in the healthcare domain. The role involves leveraging AWS cloud services, Power BI, and dimensional modeling to ensure data governance and high-performance reporting.
Technical Program Manager driving large-scale data modernization programs for enterprise clients, bridging engineering and business stakeholders using AWS data services, ETL pipelines, and complex data attribute mapping.
Lead Data Scientist designing, deploying, and monitoring ML/AI solutions (including NLP and GenAI) across Risk, Fraud, Marketing, and Portfolio Management in the payments and financial services space, using Python, SQL, and big data frameworks.
Data Scientist at FIS building and deploying predictive models and AI solutions across Risk, Fraud, Marketing, and Portfolio Management in financial services, using Python, SQL, and machine learning libraries.
Senior Scientific Data Engineer on Abbott's Cancer Diagnostics R&D data platform, building Python/SQL tools, data pipelines, and AWS-based solutions to help researchers organize, validate, and analyze complex scientific data.
Build and support ETL/data transformation jobs (PySpark, IBM DataStage, SQL) on AWS for a global data warehouse, including code reviews, integration testing, root cause analysis, and Control-M scheduling.
Build and maintain Azure-based BI solutions—data models, pipelines, and Power BI reports—using Azure Data Factory, Synapse, Databricks, and Azure SQL to drive operational analytics at Bacardi.
Data Engineer / Delivery Coordinator at Ayvens who coordinates data engineering initiatives on Azure platforms (Data Factory, Databricks), combining hands-on ETL/PySpark development with Agile project delivery, stakeholder management, and sprint planning across multiple teams.
Senior Data Engineer combining hands-on Azure/Databricks data platform work with end-to-end delivery coordination of data engineering initiatives across multiple teams and stakeholders.
Senior Data Analyst building data models, pipelines, and Power BI dashboards using SQL, Python/pySpark, and Databricks on an Azure cloud data stack.
Lead the design, development, and implementation of data strategy and platforms at Amgen, architecting cloud-based data solutions (AWS/Azure/GCP) and mentoring a data engineering team using Python, PySpark, and SQL.
Job Description What is the opportunity? The Senior Manager, Financial Analytics & Treasury Data will partner with traders, data analysts, and teams across Corporate Treasury to deliver analytics and develop data
This 8-month internship involves developing and maintaining AI and machine learning credit risk models for RBC's lending business lines. The intern will use SQL, Python, and advanced statistical techniques to analyze large datasets and support real-time decision-making.
Senior Full-Stack Software Engineer designing and delivering cloud-native platforms using .NET/C#, Angular, and AWS services for a wealth management firm.
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