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Keeps quality data projects running smoothly and keeps Resource Coordinator and Manager informed of a project's progress. Collects data performs tests and monitors x-ray QC program as required by manufacture.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Proven Expertise: Extensive knowledge in Data Profiling, Data Quality, and Data Migration strategies, backed by a strong understanding of Data Governance, Data Security, Metadata Management, and Master Data Management.
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The Principal Data Engineer role will develop standards, guidelines, and direction for data modeling and standardization that will directly contribute to enhancing the quality of patient care and developing innovative medical devices and therapy solutions.
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Expertise in Databricks, Apache Spark, and big data technologies. Implement data security, governance, and compliance measures within Databricks using Unity Catalog. Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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Support the global Data Management Program on data governance and data quality efforts. Stay updated on emerging trends and best practices in people analytics, HR technology, and data analysis, applying new insights to enhance HR analytics capabilities.
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Proficiency in biological/water quality data analysis and statistics. Demonstrated field experience conducting some or all of the following: water quality sampling, biological assessments, habitat assessments, fluvial geomorphology surveys, aquatic sampling techniques (e.g. electrofishing, seining, kick net), or sediment sampling.
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Design, implement, and maintain data pipelines that handle large volumes of data from various sources, ensuring data quality, integrity, and availability. Strong experience with Cloud Data Warehouses such as AWS Redshift, Snowflake, BigQuery, Databricks.
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10+ years of experience in the IT industry with 5+ years in Quality Engineering, tool architecture and orchestration including opensource and commercial toolset. Understand the data flow from Jira to Test Management tool and design generic workflows and debug integration issues between tools.
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The Sr Data Scientist is responsible for participating in the full array of predictive modeling activities at BHI. Conduct quantitative analyses, author study reports, and create innovative analytic approaches.
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Janler is seeking a Metrologist / Quality Technician to join our team in Northwest Chicago, IL. The Metrologist / Quality Technician will perform measurements and tests required to ensure that products fulfill all customer specifications and quality requirements.
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Center 1 (19052), United States of America, McLean, VirginiaManager, Ontology & Data ModelingThe role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.
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Developing and advising on risk operating models, data strategy, business and IT risk frameworks and compliance standards. Data: risk data governance, data lineage, reporting (incl.
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Experience with data quality assurance and testing on GCP. Measure and monitor the quality of data on GCP data platforms. Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage.
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data quality jobs Company: Vector Marketing in Chicago, IL
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