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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. Big Data Engineer.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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AWS data stack (E.g. S3, Redshift, Glue, Lambda) Whilst being physically co-located with the trading teams, the engineer will be part of the global Data Science and Engineering Team who are responsible for the ingestion and management of market and fundamental data, as well as providing cloud-based infrastructure for the use of research analysts, traders and data scientists.
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We are seeking a qualified and experienced individual to join our team as Clinical Data Abstraction Team Lead. In this role, you will lead a team of clinical abstraction specialists responsible for analyzing patient medical records to ensure accurate coding for Risk Adjustment and HEDIS purposes.
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Tool Expertise - Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment. we are looking for a Senior Data Scientist to help drive actionable insights using artificial intelligence and machine learning algorithms.
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Microsoft Azure Big Data Architecture certification. Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and Snowflake.
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They will lead a team of data scientists to develop cutting edge artificial intelligence (AI) and image processing methods for digital pathology, and to conduct clinical evaluation studies for implementation of these AI tools in the pathology clinical work flow.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.) Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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Our mission-driven team is seeking a bold and dynamic Corporate IT Security Manager who is preoccupied with big questions: Where do we go from here? The Corporate IT Security Manager is responsible for ensuring that the confidentiality, integrity, and availability of the organization data is not impacted.
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NET Core , MVC, Entity framework, Unity, o JQuery, knockout, Angular, JS libraries, CSS Bootstraps, Visual Studio 2017, REST, LINQ, ArcGIS, ESRI, SQL Server, Dynatrace, o Cloud Managed SQL, Big data/data lakes.
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3-5 years of experience in Strategic Sourcing, Procurement, Supplier Diversity, Data Analysis, or related field. Reporting to the Program Manager of Supplier Diversity & Inclusion, this role requires a combination of data analysis, relationship building, and.
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Able to write simple queries using SQL to retrieve data from Snowflake for data load in PBCS. Experience with Hyperion Essbase (System 11. Experience in building dimensions using EDM, Load data using data management.
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We are currently seeking an experienced data scientist to join the Big Data and Advanced Analytics department. Participate in strategic planning discussions around data science and big data.
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Skilled in laser scanning, point cloud data management, brownfield 3D modelling, and data integration (preferably in AVEVA tools/technologies) Should have significant hands-on experience in using AVEVA E3D modelling and other relevant tools for laser scanning, 3D modelling, data integration, and digital twins.
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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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big data jobs Title: data administrator in Houston, TX
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