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A keen understanding of industry best-practice around standards, quality and continuous improvement in the field of Data Engineering. You’ll make a real impact by taking an active role in the team’s Agile Development practices, technical decision making and development, generating value and continuously striving to improve the quality and reliability of our data and processes.
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We own, manage and develop high-quality properties in the worlds most vibrant centers of commerce, with over 1 billion square feet in 19 countries, over $200B of gross AUM. Some of the worlds largest brands (e.g., Amazon, BMW, DHL, FedEx, Pepsi) turn to us because they know an efficient supply chain will make their businesses run better, and a strategic relationship with Prologis will create a competitive advantage.
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Supervises the clinical quality program including SOP review/revision, data review, reporting and process improvement with a focus on strong customer service, accuracy, quality, efficiency, timeliness and cost-effectiveness.
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The Sr. Data Integration Engineer will be involved in a variety of areas inclusive of database management, data modeling, ETL/ELT Development, application workflows and processes, data automation and integration, and opportunity to share the future of data delivery of investment data at Northwood.
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Project experience to include environmental and hazardous materials emergency response, CERCLA RI/FS projects, data validation and data quality assessment, site characterization, UST compliance monitoring, UST closures, and vapor intrusion assessments.
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In-depth knowledge of data engineering technologies and trends, required (Data Lakehouse, Athena, Pipelines, Glue) Drive innovation and adoption of new technologies in data engineering.
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Experience working with HL7, LOINC, SNOMED, ICD, RxNorm, or similar healthcare data transmission and normalization modalities. Serving as the Senior Data Visualization Analyst means you bring experience in analytics and visual storytelling in the various business areas the HIE supports.
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Proactively seek input from team members across different disciplines to enhance the quality and effectiveness of data solutions, recognizing that diverse perspectives lead to better outcomes.
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Proficient in data governance and is a leader in the team and organization on best practices for data quality. Provides support and scripts to identify potential data quality issues, analyzes analytics performance, and troubleshoot any data pipeline issues.
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Cloud Solutions, IoT, AWS, Azure, Data Strategy, Data Science, Data Engineering, Cloud Modernization, Cloud Software, User Experience, Data Visualization, and UX and UI. Provide site reliability engineering (SRE) services to feature teams, including investigating scalability limits, identifying bottlenecks and architectural constraints, providing solutions to performance issues, and reporting results with data and a repeatable process.
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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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Monitor data quality and integrity, identifying and resolving discrepancies or anomalies as needed. Demonstrated experience in identifying and addressing data quality issues.
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Udemy is looking for a data scientist to join a team largely focused on exploring and building novel applications of generative AI to improve the teaching and learning experience. Serve as a deep learning domain expert, identify opportunities for the data science roadmap, and influence roadmap prioritization.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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The Senior Sustainability Analyst will contribute to key activities in measuring our environmental impacts as part of the Global Sustainability Team. This role will collect, aggregate and analyze data to measure the environmental impacts and progress toward goals across our materials and products, and help the team prepare for emerging ESG regulatory compliance.
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data quality jobs Title: data scientist in Denver, CO
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