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Develop and maintain processes and controls related to the operation and maintenance of master data, and perform data quality analysis on data in the Company's Financial Systems and support CF's data governance initiatives.
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POSITION PURPOSE : The Master Data Manager will play a critical role in our organization by leading the strategy and execution of our master data management (MDM) program. Data Strategy and Vision: Develop and implement a strategic vision for the company's master data management program that aligns with our broader business objectives.
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Experience building data pipelines for larger data sets and using cloud-based tools (i.e. Azure Databricks or Azure ML or AWS). Should be an expert in Python and its data science libraries like Pandas, Scikit-Learn, Keras, TensorFlow, PyTorch, NumPy, MatPlotLib etc.
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Key responsibilities: Data Analytics / Black Belt / Project Management Intern. Data Analytics / Black Belt / Project Management Intern. Across Supply Chain, we are exploring new and better ways to harness data, improve decision-making, and add value while optimizing the investment we are making our plants and people.
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Mission Statement: Become the global leader in water transforming systems, by creating world-class, consumer-centric brands that drive penetration of iconic products and deliver recurring revenue through proprietary consumables and omni-channel experiences that empower consumers in choice for their water needs that meet their lifestyle.
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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Implement and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend & Informatica) with cloud/on premise hybrid hosting solutions, on a multi-team/product level. Expert level skills on ETL tools like Talend and Informatica Expert level skills in Data Warehousing – Modeling, mapping, building batch and real time data pipelines and frameworkExperienced in DataOps tools like GitHub, Jenkins, Udeploy etc.
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Strong technical knowledge of the following: custodial, mechanical, electrical, plumbing, HVAC, structural, safety systems, landscape, and energy management. Follow GMP and preventive and corrective maintenance procedures in place for safe operation of all infrastructure systems such as electrical, mechanical HVAC & R/O water systems.
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Worked with the National Instruments NI USB-8473 CAN Interface Device to acquire, analyze, and troubleshoot CAN bus data, ensuring effective communication and reliable performance within CAN-based systems, and integrated this with LabVIEW software.
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This is a unique opportunity to build an Agile Product Owner team that provides a comprehensive management and view of data products in a large, multinational organization. You will work in tandem with the IT, Finance, Operations, and other internal partners to populate the insurance data warehouse with high quality data.
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Build database warehouses using ETL tools including Informatica and SSIS. Perform data visualization and analysis using Tableau and Power BI. Make and test modifications to database structures.
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As a member of STACK's Critical Operations team, the Critical Operations Technician must possess strong knowledge in maintaining the mechanical, electrical, fire life safety, base building, and other various internal data center systems.
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This role focuses on the development and enhancement of LOB (Line of Business) models including Automatic Risk Rating Model, credit risk modeling, Current Expected Credit Loss (CECL), Capital Stress Testing, and other ad-hoc models as well as data analytics supporting various functions within the bank.
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Maintain planning operating model integrity with quality inputs to Demand and/or Supply Planning decision support systems. Aptitude for blending quantitative and qualitative data to tell relevant story.
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Establish monitoring and alerting systems to proactively identify and address potential data pipeline issues. 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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systems data jobs Company: Dice in Mt Prospect, IL
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