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Experience with cloud data technologies e.g. GCP, Dataproc, Big query, Airflow, Snowflake, Data Factory preferred. Seven plus years relevant experience in data modeling, data integration, or data management.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Understanding of cloud data engineering and integration concepts.
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Data warehousing platforms (e.g., Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark). The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems.
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Big Data & BI (BI Consultant, Big Data Operations Engineer, Big Data Specialist, and many more) Big Data & BI (BI Consultant, Big Data Operations Engineer, Big Data Specialistu.v.m.
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This position reports to the Fab Process Integration Engineering Manager and could support a variety of silicon and compound semiconductor device technologies. Expertise in silicon and compound semiconductor processing, device physics, and data analysis are essential to success in this role.
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Work closely with data engineers and data management programmers at study level integration and delivery. Understanding of industry standard technologies to support Clinical Development needs (e.g., CTMS, SAS, R or Python, Data Warehouses, SharePoint.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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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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Leverage Workday Prism to incorporate data from other system databases into integration and reporting requirements. Analyze and construct logic for data transformations for both reporting and integration needs.
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The Data Integration Engineer reports to the Director of Pipeline Integrity. Support the Company’s Integrity Management Plan (IMP) and Standard Operating Procedures (SOPs) in risk assessment, data integration, anomaly evaluation, remediation programs, integrity program evaluation, and identification of preventive and mitigative measures.
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This role will provide Systems Engineering and Integration (SE&I) capabilities to NASA/Johnson Space Center in support of the EVA Development Project Office of the EVA and Human Surface Mobility Program (EHP.
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Understanding of relevant industry standards and regulations, such as IEEE, IEC, and NERC, related to power system automation and microgrid integration. Configure and program automation devices, such as programmable logic controllers (PLCs), real time automation controllers (RTAC), human-machine interfaces (HMIs), and supervisory control and data acquisition (SCADA) systems.
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We are a full service consulting firm that provides consultants with the following expertise: Cerner, Epic, MEDITECH, Allscripts, eClinicalWorks, Athena, PeopleSoft, Lawson, SAP, Workday, Kronos, Premier, Population Health Management/Analytics, Legacy Application Support, Project Management, Business Analysis, Application Integration Analyst, Clinical Education, Top Flight University Talent, Revenue Cycle, HIM, Pharma, Life Sciences,BioInformatics, Clinical Engineering.
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Provide Integration leadership within EHP’s Cross Stakeholder Integration (CSI) Team for EVA projects under development up to mission implementation. Building on The Aerospace Corporation's reputation as a trusted, impartial advisor with integrity and dedication to mission success, the Civil Systems Group (CSG) combines deep technical expertise with market-leading innovation to help our customers solve complex systems engineering and integration challenges.
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