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Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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Lead resolution for automation and Controls issues impacting operations in Molding, Machining, Welding, Surface Treatment and Assembly areas involving existing and new product or process launch to achieve desired Safety, quality, speed, timing, OEE, Uptime, and equipment functionality levels through data collection and analysis.
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Job Description Summary: We are seeking an experienced and innovative Data Engineer Manager with expertise in packaged goods products to lead our data engineering team. Develop and implement data governance policies, data quality standards, and best practices to ensure data integrity, accuracy, and compliance with regulatory requirements.
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Architect and develop the testbench using advanced verification methodology such as System Verilog/UVM, Analog/mixed signal simulation, Low power verification, Formal verification and Gate level simulation to ensure high design quality.
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We are seeking a Data Engineer with a strong focus on Data Quality and a proficiency in Data Visualizations and Microsoft Power BI to join our IM North America Technology & Transformation team.
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Apple's Global Business Intelligence (GBI) team is seeking an expert Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
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Performs assigned Hydrographic and Inland surveys of Marine and Construction projects and maintain quality of collected data. Conducts quality control surveys for each assigned project and forward the collected data to the office promptly.
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The Senior Data Engineer leverages various service category databases, data warehouses, and other technical applications (i.e. SQL, Snap Logic, Access, Snowflake, Python, Excel) to identify, analyze and propose solutions to support SPS consulting projects supporting our clients directly.
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Implement data governance and standards including data definitions, data quality rules, data lineage, business glossary functions. Define master data quality validation criteria and implements automatic error detection schemes.
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Maintenance Strategies Develop, maintain, and assure Maintenance Strategies are evergreen including Operations' Autonomous Maintenance, Preventative Maintenance, Corrective Maintenance, Repair and Spares strategies SAP Master Data oversite including driving quality of SAP data Work with Supply Chain on spare parts stocking levels and preventative maintenance for spare parts.
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The ideal candidate will possess a strong background in FPGbased video/image processing with exposure to typical image processing algorithms and image sensor interfaces – implementation and evaluation with the trade-offs between visual quality, performance, and FPGA resource utilization in mind.
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We are looking for a motivated and quality-focused Senior Machine Learning Engineer to join our Data Engineering team to design, build, and maintain reliable and scalable data and Machine Learning pipelines.
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The LCRR Regional Lead should have working knowledge of drinking water utility asset management programs, GIS, and applications for data analytics for dashboard development. Job Segment: Wastewater, Water Treatment, Chemical Engineer, Construction, Project Engineer, Engineering.
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Key job responsibilities The Data Center Construction Manager will be responsible for construction project management and oversight of construction related activities as they relate to new builds or general capital projects which includes the ownership of the project scope, quality, schedule, and budget.
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You will be responsible for quality and reliability as well as improvements in yield and manufacturability of PIC products using your skills and knowledge of statistical data analysis, semiconductor device physics, photonics, semiconductor processing, and testing.
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