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The focus of the Data Specialist is to properly report production and processing information from the seed to sale system (METRC/Biotrack/MJ Freeway), ERP (Dynamics NAV), and our internal systems for all identified locations in Region 2.
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The Data Governance Specialist will lead the evolution of our data products to meet the challenges of increasing scale and complexity in how we deliver governed, responsible, market-leading innovation to our clients.
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The Stanford University Center for Precision Mental Health and Wellness is seeking a motivated and well-trained Clinical Neuroscience Data Specialist (Research Data Analyst 1) to manage and analyze high dimensional neuroimaging and behavioral datasets acquired in precision mental health studies.
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Proficiency in a variety of data analysis tools such as Google Analytics, GTM, Looker Studio, Domo, and a familiarity of digital marketing metrics is required. Create and implement digital data strategy plans aligned with project goals.
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Position Title Data Entry Specialist (HR Data Coordinator) Job Title Data Entry Specialist (HR Data Coordinator) Data Entry Specialist (HR Data Coordinator.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. Role DescriptionDropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at DropboxDo you dream about Data and talk to your friends in SQL.
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Capio Group is looking for a Data Specialist specializing in Data Strategy and Governance Planning! The Data Specialist will work within the team to develop a comprehensive data strategy and governance framework, including implementation plans, technology, resources, and timelines.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. 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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ExposureMinimum 5+ years of experience Worked on large Data Engineering initiatives from start to finishFormal ETL tooling (Informatica, DataStage, etc.) Azure experience (not just a “cloud engineer” or just using services but more on data / migration side and creating pipelines etc.
$110,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required and Desired Skills/Certifications: Proven experience developing and maintaining data pipelines and ETL jobs using IBM DataStage, Informatica, Matillion, FiveTran, Talend or Dbt Knowledge of AWS cloud services such as S3, EMR, Lambda, Glue, Sage Maker, Redshift & Athena and/or Snowflake.
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The Senior Data Architect Data Modeler will be expected to leverage their knowledge of data modeling best practices along with cross industry data expertise and data modeling tool expertise.
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Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc. Degree must be earned in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Proficiently uses statistical programming languages and tools appropriate for data science domains. Experience successfully using Big Data technologies like Hadoop, Spark, Hive, NoSQL, in-memory data stores, etc., and Cloud technologies such as AWS, Azure, etc.
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Title: data specialist Company: Utimco
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