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Knowledge of DevOps principles and practices, including continuous integration/continuous deployment (CI/CD) pipelines and configuration management tools (e.g., Ansible, Puppet, Chef). Implement security controls and best practices to protect cloud infrastructure and data, including identity and access management (IAM), encryption, and network security.
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Continuous Integration / Continuous Deployment (CI/CD) pipeline and DevSecOps experience is highly desired; as is the ability to effectively perform multi-level analysis on disparate data sets, highlighting trends and developing action plans to remediate findings or program objectives, ensuring cyber is at the forefront in development.
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Experience in roles that required working hands-on to build, implement, administrate, or maintain enterprise software (e.g. software engineer, implementation architect, integration architect, or similar.
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Working closely and collaboratively across technical and non-technical stakeholders, the Engineer will be responsible for supporting various customer data and consumer marketing services initiatives, including data onboarding projects, data enhancement initiatives, data feeds to external business users as well as internal system enhancements and data integration projects.
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The DevOps/SRE Engineer will be a member of the Data Services team, which supports the enterprise customer data warehouse solution. The Engineer will work with internal program managers, data engineers, analysts, and marketers as well as with external stakeholders to formulate a deep understanding of the department's customer data needs, opportunities, constraints, and challenges.
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M365 Engineer – Data Migration Specialist. Coordinates / leads the deliverables for technical design, integration, and implementation of Workplace Services projects and services. Platform engineering includes Content Management Systems, UGC Enforcement Platform, E-commerce, Video Distribution Technology, Registration, Advertising Systems and Data Warehouse & Reporting.
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Collaborating with team members to design, develop, test, document and implement data integration, data warehousing, and business intelligence solution. ServiceTitan is seeking an exceptional Senior Data Warehouse Engineer to join one of the fastest-growing tech startups in Southern California, backed by the best VC firms in the SaaS space.
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LinQuest Corporation has a stellar track record of providing end-to-end system-of-systems (SoS) architecture definition, engineering design, integration and test, data analysis and operations expertise to enable full lifecycle development and deployment of pre-eminent Space, Air, Land, Sea, Ground, and Cyberspace game-changing capabilities across US DOD and IC Customers’ portfolios.
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7+ years of progressive experience in definition and implementation of Data Warehousing and Business Intelligence solutions supporting e-commerce, direct-to-consumer marketing, or consumer data analytics teams.
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You are an experienced Manual QA Engineer who is a proactive, self-starter with the ability to spot problems with the code and articulate your thoughts and reasoning to members of the team. Network Optix (Nx) is a powerhouse in video software development, driven by a mission to empower the creation of intelligent video-based solutions and products capable of converting video into actionable data.
$90,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiar with image sensor technology, image sensor performance metrics, image sensor usage, and integration into camera systems. Proficiency with data analysis tools (JMP, MATLAB, Excel, etc.
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Experience with data integration tools and techniques to ingest data from various sources into Snowflake. The client is seeking a highly skilled and experienced Senior Data Engineer / Developer (see skills below) to join our team.
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The position also requires a solid understanding of data integration as the Data Warehouse Developer will be expected to build out ETL processes to load data into the data warehouse.
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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
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We explore molecules and targets broadly and deeply with a sophisticated integration of ultra-high throughput experimentation, generative AI, biology, medicinal chemistry, automation, and nanotechnology.
$132,000 - $198,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
data engineer integration jobs in Pasadena, CA
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