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Die casting, process engineering, time studies, data collection and analysis, SOP, automation, robotics, casting process, process control, tooling, motion studies, machining, process improvement, 5S, 8D, Six Sigma, lean manufacturing, poke yoke.
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This role is focused on migrating data from snowflake to on-prem ods ecosystem for the purpose of replicating existing downstream (DataStage) data operations and analytics. The backend will be snowflake, and the primary required data movement tool is DataStage.
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Experience on SAP integration with trading platforms (e.g. FXall, 360T) and market data feeds (e.g. Bloomberg and Reuters) Good working knowledge of cash management, FX, Debt capital markets and interest rate risk management.
$102,750 - $188,375 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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8+ years of experience with Data Warehousing, Data Engineering, Data Architecture, AWS Cloud. Denodo Data Virtualization Languages include SQL, PL/SQL, UNIX Shell Script, Java, Python, SCALA.
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However, as a Data Scientist on our team, you will have the opportunity to work across all aspects of the analytics pipeline, from evaluating candidate datasets for use, applying last-mile data engineering, developing ML, NLP, or econometric models, creating data visualizations, and deploying models to front-end systems in a repeatable automated manner.
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A successful candidate will have a demonstrated ability to query and analyze complex data, draw impactful insights and make recommendations that support the digital risk control and mitigation strategies.
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Work at Home Entry Level Order Processor / Data Entry / Typist / Back - Front Office Clerks / Secretary / Supervision / Business Development / Online Survey / Office Administration / Accounts Payable / Sales / Marketing / Advertising / Customer Service Part Time Admin Clerical Jobs.
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You will collaborate with cross-functional teams to architect scalable data solutions using Azure Databricks, Cosmos DB, Synapse Analytics, and SQL Hyperscale. This includes demonstrated expertise in Azure Databricks for building and optimizing data pipelines, as well as experience with Azure Synapse Analytics for data warehousing and analytics.
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We are seeking a highly motivated PhD Scientist / Engineer to join the Fabric and Home Care (F&HC) Strategic Innovation & Technology organization, located in Cincinnati, OH. You as the Data & Modeling Scientist will create and lead cohesive modeling strategies across computational groups and physical and chemical wet labs to solve real-world business problems.
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This role is for a Certifying Scientist with two or more years of experience and qualified under CLIA. The Certifying Scientist is responsible for the quantitation of MS data and final review of patient related data reports for toxicological examinations of target compounds and metabolites.
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Client is modernizing our central data engineering (ETL) space. Some form of technical background (ex: software or data engineering) Ability to identify metrics and key performance measures and use data to drive decisions.
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Knowledge of deployment of Cloud data platforms such as MS SQL, Cosmos DB, Azure Databricks, Snowflake, etc. Knowledge of Data services and Event services (EventHub, Event Grid, Service Bus) in Azure.
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Having recently delivered an aligned data science platform for Data Engineers and Data Scientists, we’re currently working on refining access controls, bringing new science tooling to our users, and improving data connectivity with PowerBI and BigQuery.
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This individual will serve primarily as an investment analyst and will be responsible for managing all investment ops and investment management-related large data sets. Advanced Excel skills with the ability to manipulate data using formulas, pivot tables, macros, and modeling.
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Reviews operational procedures and investment data management methods with an eye towards improvement, automation, and efficiency. Creates, maintains, and improves all Investment Due Diligence tracking and backup data files in an organized and timely fashion.
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data job in Cincinnati, OH
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