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Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools. 10+ years of experience in data engineering, data science, and software engineering.
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Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven.
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Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response.
$232,000 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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2+ years working with container technologies such as Docker, KubernetesExperience with server-side concepts (e.g. microservices, database, caching, performance, monitoring and scalability)Familiarity with data governance best practicesWilling to travel to the Oakland office monthly to collaborate with other Earnies Even Better: DBT experienceBusiness Intelligence tools such as Tableau, Looker, Qlik, etc.
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Data Governance: Implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements, including access controls, data masking, and encryption.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Reporting to the Enterprise Engineering Manager, the Software Engineer, Governance will own and maintain features relevant to platform security. This will encompass a broad range of security elements including but not limited to Role-Based Access Control (RBAC), audit logs, managing and storing data in remote cloud resources, and dealing with authentication and authorization processes.
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Partner with Data Governance teams to ensure the platform aligns with compliance and security policies, protecting data and aligning with industry standard processes. Join Disney Experiences as the Sr Manager of Data Platform Engineering, where you will own the engineering of data software features and capabilities for a centralized data platform that enables analytics, business intelligence, and real-time decision making.
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Profound expertise in delivering enterprise data engineering solutions and analytics data governance. Collaborating closely with various engineering and product teams, you will pioneer innovative data engineering approaches to further Salesforce's dedication to customer success.
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You will work closely with IT, Data Analytics, Product and Engineering to design and enhance our data platform and with Security, Legal, and Compliance to help establish and maintain data governance.
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We're looking for a Data and Analytics Services Head (VP) to set the overall vision, strategy and execution plan towards establishing Business Data and Analytics Products at the Federal Reserve system level across Data Engineering, Analytics, and Artificial Intelligence.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Dask, Python, and Tableau.
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Establish and enforce data governance policies, ensuring compliance with relevant data protection regulations and industry best practices. Proven experience (5+ years) in a leadership role overseeing data engineering, software engineering and/or ML engineering.
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Experience with data engineering and data processing pipelines (Kubernetes and deploying infrastructure on AWS is a plus) About us Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and ESG (Environmental, Social, Governance.
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As Relyance AI’s Sr. Solutions Engineer , you will be the Sales team’s product and technical subject matter expert (SME) for Relyance AI’s privacy & data governance platform to enterprise customers and other organizations.
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data engineering governance jobs in San Francisco, Boynton-beach, Florida
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