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Reporting to the Chief Information Security Officer (CISO), the Identity and Access Management Engineer is responsible for technical delivery and integration for authentication, authorization, identity provisioning, and identity governance and administration (IGA) solutions across allUniversity systems, audience types, and applications.
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Additionally, this position provides oversight of Identity and Access strategy for University systems reliant upon data sourced from Human Resources and Student Information Systems. Expert knowledge and experience with Oracle Cloud ERP implementation.
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Reporting to the Director of Engineering, this role would work closely with Decision Science, Analytics, and MarTech teams to own and drive in-house technical development, maintenance, and platform support for all data product development, including warehousing, storage, and integration to paid deliverables.
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Immediate opportunity for a Senior Data Engineer to join a top-notch company experiencing rapid growth! Build the data pipelines required for the optimal extraction, transformation, integration, and loading of raw data from a wide variety of data sources.
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Working closely with IT, data science, product development teams, and business leaders, the Principal Engineer will ensure that our technology strategies align with and propel our business objectives.
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One of our premier clients is looking for a Salesforce Data & Integration Release Engineer to join their team. Teams will provide a list of components, from which the release engineer will create the xml file and commit teams code to the repository.
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Data Integration Engineer - W2 Only - US Citizen or Green Card Holder - Hybrid. Deployment of integration solutions into production environments. Resolving integration issues, debugging code and analyzing log files.
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Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory. 7+ years of experience as a data engineer, with strong proficiency in Azure cloud services, Databricks, and Azure Data Factory.
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MLOps engineer deploy, manage, and optimize machine learning models in production environments, ensuring smooth integration and efficient operations. MLOps Engineer enables the successful operation of the model once the Data science team has built the model.
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Experience with data modeling, ETL/ELT development, data integration and orchestration techniques. - Azure Data Engineering or Databricks Certification. - Experience with designing and developing end-to-end data and analytics solutions leveraging Azure Data Lake, Azure Databricks, and Data Factory.
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Compiles and analyzes technical data to determine the effects on product engineering design and rate estimates, identifies robotics, automation, or technology recommendations, and system integration for equipment and tooling.
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We are on a path breaking journey to build “Data Integration’ service ( that is built for hyper scale by leveraging cutting edge technologies (Spark, Scala, Livy, Airflow, Redis, Kubernetes, etc.
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Job Title: Designer Engineer. Experience with stress analysis hand calculations and results validation with any one or more of the following programs - RISA, Nastran, Abaqus, Ansys, Autodesk. Proficiency in Model-Based Definition and Drawing-Based Definition utilizing CATIA V5 with configuration management in ENOVIA.
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From data analysis to portfolio construction and trade optimization, be responsible for research systems and productivity across the entire model stack. They also ensure research and ideas are production-ready and scalable for integration into the firms systematic trading environment, contributing to the firm's overall success.
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In SFMC data integrations: cloud connector, data extensions, integration with external systems (via APIs) – especially Salesforce Commerce Cloud, MuleSoft, Apigee, Akamai, Validity (Everest.
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data engineer integration jobs in New Orleans, LA
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