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Design and build visualization dashboards and reports for projects to accelerate information-to-action at scale using data from disparate data sources and various tools like Power BI, Looker, and SSRS. Lead data-related projects end to end, from requirements gathering to deployment in production with the help of the BI Manager and BI Engineer.
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Experience with Data Center Construction Projects a Huge Plus. This opportunity is with a leading provider of mission-critical data center solutions as an Owner’s Rep for Construction Services.
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Experience as a Team Lead, Technical Lead, and/or Subject Matter Expert (SME) in fields of knowledge (EO, GNC, RADAR, GPS, Data Links, Launch Platforms (Shipboard and Ground Systems). The responsibilities for the SW Technical Authority encompass the following: technical execution and leading the team through the Software Development lifecycle (SRR, PDR, CDR, FQT), including transition production.
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Strong leadership skills, in project and people management in a continuous improvement environment in the areas of production, safety, quality and Lean manufacturing principles About DAP DAP is a market leading manufacturer, innovator and marketer of home repair and construction products including caulks, sealants, spray foam insulation, adhesives, and patch and repair products.
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Production Runtime Experience (PRX) is a Technology Business Unit focused on running scalable production management services with a mandate of operational excellence and operational risk reduction that is achieved through large scale automation, best-in-class engineering and by leveraging data sciences and machine learning.
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As a Production Support Engineer at One Network Enterprises, you will play a crucial role in ensuring the smooth operation of our software applications by analyzing and resolving client-reported issues.
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ResponsibilitiesMonitor and maintain the components of our data engineering pipeline, and various container-based services configured through UIs, SQL, PL/SQL, Python, and Shell, with code managed in GitHub, deployed through JenkinsWork as a part of our production support team to ensure the highest standards of product configuration that meet client requirementsTest and troubleshoot data pipeline using sample and live client data, utilizing Jenkins, Python, and Java to automate these tests.
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The Boeing Company s AvionX organization is seeking a hardware engineer with experience in FGPA and Firmware engineering, specializing in the full development lifecycle of hardware including requirements analysis, design, build, integration, test, certification, production.
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The Boeing Company is looking for multiple AvionX Hardware Engineer – FPGA/Firmware located in Plano, TX, Hazelwood, MO or Mesa, AZ. Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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We are hiring a Data Engineer - Onsite at Boston, MA to join our Digital Engineering team. Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.
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6+ years of data engineering experience, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way. Demonstrated data engineering experience, utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
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DevOps Engineers manage various development, test, staging, and demo environments (code deployment using Continuous Improvement (CI)/Continuous Delivery (CD) pipelines, backups, data refreshes), as well as deploy and manage software into Costco’s production environment while leveraging as much automation as possible.
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Five (5) years of experience in a database engineer position required. Install, configure, patch, and maintain production and non-production databases for Cloud 9 and other applications.
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The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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Migrate data across instances and deploy code from source control (Git) to sandbox and production orgs. Experience with software development using a modern OOP language (Java, C#, or similar) with a strong understanding in programming, data structures, algorithms, databases and SQL.
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production data engineer a jobs in Dallas, OK, Australia
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