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CNC Machinist Lead Position Summary: Lead CNC Machinist will be responsible for set up, troubleshoot, and operate CNC Machine centers, performing manual data input, (MDI) programming, inspecting parts using manual gauges and instruments, and ensuring compliance with quality and safety procedures.
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You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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The utilization of data from the National Weather Service and ADOT Roadway Weather Information System, appropriate use and application of anti-icing and deicing chemicals. Provide input into the project development process: recommend locations for new construction and spot improvement projects; work with the Operations Superintendent and the Maintenance Engineer in establishing areas for spot repair and major rehabilitation pavement projects; review plans and specifications; project assessments, attend field reviews and provide technical support.
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MDI (Manual Data Input) programming, using. With more than 90 large-platform industrial-grade 3D printing machines and a national footprint with more than 500,000 square feet of manufacturing capacity across 10 facilities, Fathom seamlessly blends in-house capabilities across plastic and metal additive technologies, CNC machining, injection molding & tooling, urethane casting, sheet metal fabrication, and design and engineering.
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Analyze and problem solve moderate sample and/or plate issues by utilizing data from; including, but not limited to, SOPs, the laboratory information management software (LIMS) system, data management programs, and instrument files; notice shifts and trends of samples and controls.
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Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
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Strong proficiency in Python, SQL databases such as PostgreSQL, and big data technologies such as Databricks and Spark. hackajob has partnered with a cutting-edge company seeking a talented Data Engineer with expertise in Python, ETL, and Databricks to join our innovative team.
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Utilize demonstrated SME knowledge of digital technology, infrastructure, application development (waterfall and/or agile), information security, data management, data quality, Artificial Intelligence and Machine Learning, Natural Language Processing, process and control design and assessment expertise when participating in Governance, monitoring or oversight activities.
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Assess the current data environment and identify systemic changes, data model updates required to support migration from source(Enovia, Windchill and ARAS) to target system (Teamcenter) Develop and implement comprehensive data migration strategies and plans for Teamcenter PLM.
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Further, the Head Performance Physiologists has expert knowledge within the context of applied exercise physiology and biomechanics to lead fitness testing and interpret data to develop individualized programs designed to help athletes achieve their goals.
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Install, configure and manage enterprise data integration platforms including Data Stage, Talend, Ab initio, Informatica and AWS Glue in AWS cloud environments and in on-premises infrastructure.
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Data Engineering and Analytics using AWS Glue, Informatica, EMR, Spark, Athena, Python. Data modeling and building Data Warehouse using Snowflake. Designs and develops code and data pipelines to ingest from relational databases (Oracle, SQL Server, DB2, Aurora), file shares, and web services.
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Demonstrated experience related to AML, Know-Your-Customer (KYC), Transaction Monitoring, and Sanctions data, technology, and deep analytics experience. Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modelling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
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Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position.
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data input jobs Company: Tephra in Tempe, AZ
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