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Supports and maintains Windows Server and Microsoft Azure environments, troubleshooting complex incidents, automating tasks with PowerShell, and ensuring system resilience for a UK-based commercial services organization with European operations.
Lead the design and delivery of GM Financial’s cloud data analytics platform, building scalable Azure/Databricks pipelines, APIs, and AI-ready data layers to power analytics, ML, and reporting across global markets.
Lead the design and delivery of API integrations and enterprise banking systems using .NET, React, and Azure, ensuring scalable, secure solutions aligned with commercial banking needs.
Builds and maintains data pipelines, models, and analytics solutions to support energy analytics, focusing on Azure, Python, SQL, and data governance for cost reconciliation and reporting.
Builds and maintains scalable data pipelines for migrating/transforming financial data across systems, standardizing schemas, and enabling enterprise visibility into billions of dollars in payments. Core tech: Python/Scala/Java/C#, Databricks/Spark, cloud warehouses, ETL/ELT, and data quality tools.
Builds and deploys ML models to analyze store equipment telemetry data, using Python, PySpark, and Azure cloud tools to drive operational insights and efficiency.
Designs and modernizes data pipelines, migrating SQL Server to Hadoop/Databricks while enabling AI-driven insights and real-time analytics for Visa’s global payments infrastructure.
Builds and maintains scalable data pipelines and feature engineering workflows on Databricks Lakehouse, transforming healthcare/member data into trusted assets for AI, ML, and decision intelligence. Focuses on real-time ingestion, data quality, governance, and collaboration with data science/AI teams.
Builds and maintains Power BI reports, SQL queries, and Snowflake transformation layers across TTI's power tools and floor care business units, while implementing AI-enabled analytics solutions like Snowflake Cortex and Copilot agents.
Job Description: The IT BI Manager is a senior, full-stack member of the Data Analytics & Information Engineering (DAIE) team, responsible for reporting, analytics, and AI-enabled solutions across TTI’s business…
Become a part of our caring community The Lead Data Engineer owns the NBA platform's data foundation on the Databricks Lakehouse. This role is responsible for the architecture, delivery, quality, governance, and…
As an AI & Automation Engineer, you will join the Data Analytics team within BorgWarner’s TTT (Turbos & Thermal Technologies) Business Unit, working closely with business stakeholders, Corporate Center of…
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms to support enterprise reporting and AI-driven initiatives. The role utilizes technologies such as Azure, Databricks, Snowflake, and dbt to ensure high-quality data availability for the foundation's mission-driven work.
The Cloud Engineer builds and maintains scalable data solutions on Azure and AWS using Databricks, Spark, and Python. The role focuses on data ingestion, pipeline development, and supporting FinOps initiatives through cross-functional collaboration.
The Senior Cloud Engineer designs and supports scalable cloud data platforms using Azure, AWS, and Databricks. The role focuses on building ETL/ELT pipelines, API integrations, and automation to support FinOps and enterprise data initiatives.
Analytics Engineer building trusted data transformation layers (SQL, dbt) in a modern data warehouse to power BI, AI, and reporting across a real estate portfolio company. Fully on-site in Chicago 5 days a week.
The Data Engineer will design, build, and maintain data pipelines and analytics-ready datasets using Microsoft Fabric and Azure cloud services to support organizational reporting and operations. This role involves collaborating with stakeholders to ensure data quality, lineage, and compliance with government ICT standards.
Builds and maintains .NET/C# applications with Angular frontends, optimizes Azure data pipelines, and collaborates cross-functionally to deliver scalable cloud solutions.
A Junior Data Engineer building Azure Databricks data pipelines, implementing Delta Lake and medallion architecture, and supporting Databricks Genie deployment for a modern data platform.
Required Graduation Period : 2025.6.1 - 2027.8.31 Description: At P&G, we use data and technology to solve challenges range from developing creative products, personalizing consumer experiences, go-to-market…
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