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Expertise supporting data interfaces with MES, OSI PI and Data Lake. Expertise in building graphical user interfaces that support data access, visualization and process leveraging tools such as OSI Pi Vision, Infobatch and process data analytics platforms such as Seeq.
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As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network.
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To be successful, you must select, model, and prepare the best data for the solution; Utilize the data platform and cloud infrastructure to engineer the tools and technologies needed to source, process, and deliver the data; Collaborate with your Data Science colleagues and work directly with data consumers and stakeholders to understand their needs and evolve the Analytics Environment at the pace of the business to drive impactful outcomes.
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EDUCATION / MINIMUM QUALIFICATIONS: Undergraduate coursework in Fisheries Science, Limnology, Ecology, Environmental Science, or related field. Work alongside our Lead Biologists to conduct stream habitat surveys and mapping, data collection and management, and habitat restoration on the Skagit River in Newhalem, WA.
$23 - $25 a yearTemporaryExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The University of Washington is a science and engineering leader in computation, modeling, and data sciences, from atmospheric sciences and oceanography to quantum chemical systems and protein design.
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Wizards Nearest Major Market: Seattle Nearest Secondary Market: Bellevue Job Segment: PLM, Data Conversion, Testing, Computer Science, Developer, Management, Data, Technology. What You'll Do: Responsible for the data migration strategy and execution, which includes: data extraction, transformation, loading (ETL) and data accuracy, integrity, and consistency.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
$120,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. automate export/import metadata to and from the Data Governance platform.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Work closely with other members of Cell Science team and downstream Process Development team to develop and execute multiple projects under tight timelines. Sr. Associate Scientist/Scientist - Cell Science.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Direct Client - Sr Lead Data Engineer Apache Spark, Spark Core, Spark SQL, Spark Streaming – Data Bricks Location: Hybrid (Seattle, WA) Length: 12 Months Job description This position contributes to Client success by building enterprise data services for analytic solutions.
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Collaborate with Product, Data Science, and Customer Success teams to design, implement, and maintain large scale data products. Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark.
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Bachelor's degree in Human-Computer Interaction, Cognitive Science, Design, Experimental Psychology, Anthropology, Information Science or a related field. - Understanding and grasp of both quantitative and qualitative methods and data analysis.
$121,800 - $226,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Business Intelligence Developer is the subject matter expert in researching and developing data pipelines, data governance, data quality, and Extract Transform Load (ETL/ELT) activities supporting analytical and data science workloads including ad hoc analysis, visualizations, machine learning and artificial intelligence.
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Bachelor of Science in Chemical Engineering, Mechanical Engineering, Electrochemistry, Chemistry, Physics, or related technical subject areas. Responsible for development of fuel cell components, performing fuel cell operability trades and analysis of test data, developing electrochemical models, and defining verification and validation plans for new technology developments.
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data science jobs Title: data Company: Bae Systems in Bellevue, WA
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