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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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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), ERP (Dynamics NAV), and/or inventory tracking via RCS Counterpoint, and our other internal systems for all identified locations in Region 1.
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Work closely with data engineers and data architects to integrate Databricks Delta Lake data into Dataiku for downstream data processing and analytics. Data Engineer with Databricks, Delta Lake, ETL, Spark, Dataiku, Data Migration, SAP (e.g., SAP HANA, SAP BW), SharePoint, Python, Pyspark Exp with Databricks Certification.
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Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows. Design data pipelines for large-scale data ingestion, processing, and storage.
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Ensure stability, availability, and performance for Data eco-system (all environments and entire lifecycle – from acquisition of data, file management & archival, through ETL processing, storage in data warehouse, integration to analytics engines, through data visualization applications and monitoring tools.
$152,100 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow) Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation.
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Designing, researching and developing natural language processing (NLP) models and machine learning algorithms to get insights from structured and unstructured data. This position is an internal Staff Data Scientist Intern role with IBM Corporate Development (Mergers & Acquisitions.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Must have good work experienceknowledge in ADLS ADF Snowflake Databricks Azure AIML Purview APIs Collibra Data processing in Azure cloud. Minimum of 15 years IT experience in Data BIA solution architecting of which at least 3 years in Azure Snowflake Databricks.
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No work experience required; Previous experience in tissue processing, tissue recovery, manufacturing, operations, surgical technician, or closely related preferred. As a Processing Technician you will perform all aspects of processing, preservation, and storage of live bone cell tissues.
$15.5 an hourFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Familiarity with distributed data processing frameworks like Apache Spark, Hadoop, or similar. Architect, develop, and maintain robust and scalable data pipelines for ingesting, processing, and transforming large volumes of data from multiple sources in real-time and batch modes.
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Architect and implement big data processing solutions using Databricks, leveraging Apache. pipelines that handle large-scale data ingestion, processing, and storage. Implement data security, data governance, and compliance measures within the Databricks.
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Design and Develop Data Pipelines: Architect, develop, and maintain robust and scalable data pipelines for ingesting, processing, and transforming large volumes of data from multiple sources in real-time and batch modes.
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Experience working with clinical terminology standards (e.g. SNOMED CT, LOINC and RxNorm) or in clinical Natural Language Processing (NLP) in healthcare. Providing CDI content support to Solventum HIS end user products applying Natural Language Processing (NLP) and Natural Language Understanding (NLU) in a clinical setting.
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data processing jobs Company: Govcio in Kekaha, Hawaii
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