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The Data Engineer will be responsible for a wide variety of tasks which include all aspects of the development and delivery of data solutions and maintaining the enterprise data warehouse. You will work closely with…
This is a remote position. We are looking for Data Engineers (Junior, Mid or Senior)! At KIS, we are always looking for talented individuals to join our team for future opportunities. If you are a Data Engineer and…
Designs and builds data platforms in Azure and on-premises, integrating data for enterprise clients in industries like automotive, life sciences, finance, and manufacturing.
Designs and maintains data pipelines, builds analytics models, and creates reports using Azure tools, SQL, Python, and BI platforms to support enterprise decision-making and governance.
Designs and maintains cloud-based data pipelines in Azure to move and transform financial data, using tools like Data Factory and Databricks.
Builds AI-powered data pipelines and full-stack web apps for an Italian enterprise client, using Python, cloud services, and modern frontend frameworks.
Designs and manages Azure cloud infrastructure for life sciences data, focusing on Databricks, CI/CD pipelines, and scalable data solutions to support drug development and analytics.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Designs and maintains cloud-based data pipelines and warehouses for marketing and enterprise analytics using Azure Data Factory, Snowflake, dbt, SQL, and Python.
Designs and maintains data pipelines and analytics-ready datasets using Python, Azure Databricks, and SQL, integrating enterprise data sources to support reporting and business decisions.
Designs, deploys, and maintains Azure cloud integration services (APIM, Service Bus, Data Factory) and automation pipelines to connect systems securely and at scale.
Designs and builds end-to-end data pipelines and warehouses for a global bank, using Informatica, Snowflake, and cloud platforms to move and model financial data for analytics.
Designs, builds, and maintains scalable data pipelines and warehouses to ensure reliable, secure data access for analytics and decision-making using SQL, Databricks, Snowflake, and Azure tools.
Develop and deploy AI/ML models to monitor and optimize transformer manufacturing processes using Python, Azure cloud tools, and time-series forecasting.
Designs and builds enterprise reporting and analytics solutions using Microsoft Power BI, Python, and Azure, turning financial-institution data into actionable insights.
Build and maintain Power BI reports and Snowflake data pipelines for portfolio performance, then layer LLM-powered AI workflows on top to make financial data conversational and actionable.
This role bridges business needs and technical teams to build and evolve a cloud-based enterprise data platform in Microsoft Azure, gathering requirements and translating them into user stories and technical specs for engineers.
Leads a team of data engineers to design, build, and manage AI-powered data pipelines and solutions, primarily using Azure cloud services and Python.
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…
Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing…
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