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We are seeking an experienced and innovative Data Engineer Manager with expertise in packaged goods products to lead our data engineering team. Architect and implement cloud-based data platforms and infrastructure using technologies such as AWS, Azure, or Google Cloud Platform, ensuring scalability, reliability, and security.
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Continuously engage in refining data engineering processes to ensure data accuracy, consistency, and integrity through continuous audit and review. + 10+ years relevant experience as an Analytics Engineer / Data Engineer or similar, partnering with product, engineering, or growth teams at a SaaS or enterprise software company.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The IS Automation Engineer is responsible for designing and implementing automated frameworks that ensure data accuracy, consistency and integrity across various sources and platforms, as well as training and supporting users in adoption of Continuous Integration and Continuous Deployment (CI/CD) pipelines and other automation needs.
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Data Pipeline Engineering: Design and develop data processing pipelines to ingest, clean, and preprocess large-scale datasets, ensuring data quality and integrity throughout the machine learning lifecycle.
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As a Sr. IAM Engineer on the Enterprise IT Server Team, theidentity and access management engineer is responsible for the development and implementation of IAM systems including SSO, authentication and access controls ensuring confidentiality, integrity and availability of IAM systems and data.
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Experience developing, securing, and optimizing data feeds using public cloud services such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform. In-depth hands-on knowledge of modern Integrations Platform solutions, file and database ETL, XML transformation, web services, data security, integrity, validity, and reliability are required at the enterprise level.
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Experience with Azure DevOps , CI/CD. If you're a Computer programmer who would love to help improve websites and data charts for airplanes engineering projects, APPLY NOW! The candidate will work as a Full Stack Developer within client's Global Services division in Warner Robins, GA. They will focus on maintaining and enhancing web applications and Tableau dashboards that support C-17 Engineering and Integrity Programs.
$65 - $75.64 an hourExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Lead the migration of data from Azure Synapse to Databricks, ensuring data integrity, performance, and scalability. Overview: We are seeking a highly skilled Senior Data Engineer with expertise in Azure data services to join our dynamic team.
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Experienced with Services based Integration (e.g. REST) of role-based access control, Active Directory, Azure AD, Okta, LDAP, Single Sign-On, End-User provisioning, identity and access governance, Privileged Identity Management, Privileged Access Management, Lifecycle Management and identity data synchronization services with existing applications and systems.
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Working experience with Azure Blob Storage, Azure Service Bus, Azure Events, and Function Apps Working experience with Data Hubs and testing for Data Integrity and Data Accuracy Working experience with Third Party integrations Familiarity with Event Driven architecture Experience creating performance tests with JMeter or similar tools.
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Designing, implementing, and supporting the SSO, MFA, Zero Trust, Active Directory, Azure AD, Okta, and user access provisioning services, automation, integrations, and lifecycle management. Job Title: Senior IAM Engineer.
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Enterprise experience in Identity and Access Management with working knowledge of enterprise hybrid cloud environments and other PAM toolsets. Manage scalability, capacity planning, redundancy, and resiliency.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with distributed computing frameworks (e.g., Spark, Hadoop). Position Overview: As a Senior Machine Learning Engineer, you'll be at the heart of our AI initiatives, leading the development of state-of-the-art machine learning models and systems.
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You'll collaborate with a talented team of data scientists, engineers, and domain experts to tackle complex challenges and deliver impactful solutions. If you're passionate about harnessing the power of data to drive innovation and eager to make a difference, we want you on our team.
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Cross-Functional Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define requirements, prioritize tasks, and deliver solutions that meet business objectives.
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