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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Minimum 5 years' experience in data engineering with a proven track record in the Azure ecosystem and with Azure DevOps. Identifies ways to improve data reliability, efficiency, and quality of data management.
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Partner with IT Asset Management teams and IT Product Owners to align discovery trend data with asset lifecycle management data requirements. Establish a Governance operating model for the CMDB focusing on data ownership and standards management.
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PreferencesBachelor's degree in an Engineering field, Construction Management, Architecture or other related discipline Previous BIM/VDC responsibilitiesExperience as a mechanical designer focusing on building construction.
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Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
Full-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Data engineering experience in one of the following: ETL, Data Analytics, or Master Data Management. Hands on experience designing and building reporting and transactional data models in various database management systems such as AWS RDS, Azure SQL, RedShift, PostgresSQL, MySQL, Snowflake, SQL Server, or Oracle.
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Work with partners in construction, design and change management to compile, prioritize/triage and process construction originated engineering issues for standard design/product improvements.
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The individual must be able to demonstrate established knowledge in GIS analysis, cartography, geospatial data management, asset management and project management. As a highly talented GIS Analyst, you will be faced with challenging GIS projects in the fields of Engineering, Planning, Architecture, and Water Resources.
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Success in this role comes from combining a strong data engineering background with product and business acumen to deliver scalable data pipeline and database solutions that can enable & support a high performant, large scale modeling infrastructure at Acxiom.
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GMC has an opening for a Water/Wastewater Engineer EIT in the Nashville, TN office to assist the GMC Nashville water/wastewater engineering team. One of the Southeast’s most comprehensive multi-disciplined firms, GMC is equipped to provide all of the services associated with architecture, interior design, civil engineering, environmental services, landscape architecture, planning, transportation engineering, geotechnical engineering, electrical engineering, surveying and disaster recovery.
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Fluency with the process and needs of our different disciplines, including electrical engineering, firmware development, mechanical engineering, industrial design, user research, and product strategy.
$114,500 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Manager of DPX Product Operations Manager will lead, manage and coach a team of high performing engineers and support analysts who are responsible for product level 2 & 3 support, DevOps, and Site Reliability Engineering (SRE), in the DPx space.
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We are seeking expertise in the following areas - candidates with wider skill range will have advantage: Cloud, Exadata, Real Application Clusters, High Availability, Data Guard, Recovery, ZDLRA, Performance, Memory Management, Database and Query tuning, Storage, ASM, Golden Gate, Security, Networking, Enterprise Manager etc.
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Proven experience in data engineering and implementation in AWS Cloud, Teradata, and Python. If you are passionate about data engineering, have a strong technical background, and possess expertise in health insurance data domain knowledge, we would love to hear from you.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago
data engineering product management jobs Title: intelligence in Nashville, Sanford, Maine
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