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Computer Science graduate ideally with specialization in Data Engineering or Machine LearningExperience in Hadoop technologies (Map/Reduce, Oozie, Pig, Hive, Spark, Kafka, HBase, Storm.
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Understanding of architecture patterns, principles, and best practices for Microservices/API, Streaming/Eventing, Integration, High Availability, Cloud, Security, Devops and Data Experience in deploying and supporting web, containerized, and serverless infrastructures.
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Collaboration:Work closely with application developers, data engineers, and business analysts to understand integration requirements. Leveraging your expertise in integration technologies and architecture, you will collaborate with cross-functional teams to ensure efficient data flow, enhance system interoperability, and optimize overall business processes.
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Experience in Advanced Geophysical Classification (AGC) data acquisition and familiarity with data processing software (, Oasis Montaj) a plus. Integration of geophysical sensors with positioning control systems including RTK GPS and SLAM.Assist with Site Logistics such as establishing field office and storage locations, test locations, and routes to work areas.
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Nice to Have: Worked with real time big data pipelines using distributed data processing systems using Apache Spark/AWS Glue/BeamWorked with containerization using docker and kubernetes.
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Integration: Ensure seamless integration with other SAP modules, such as SAP SD, SAP FICO, and SAP HR, to maintain data consistency. Perform unit and integration testing, and work with end-users to conduct user acceptance testing (UAT.
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At least two (2) years of experience with Databricks- Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS- Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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Collaborate with data engineering team to deploy and use data products as application data integration approach. - Hands on experience of building data visualization dashboards in PowerBi/QLIK.- 2+yrs.
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To support compliance with federal and state regulations and Thrasio internal policies, the Senior Benefits & Leave Specialist audits employee data and performs reporting. Support external relationships with vendors for employment verification, and local/state unemployment bureau(s); conduct audits of HRIS, payroll, and benefits data, updating information or recommending corrective action to Benefits or Finance functions when necessary.
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By applying, you consent to your information being transmitted by HourlyJobsNearMe to the Employer, as data controller, through the Employer’s data processor SonicJobs. Performs ongoing analysis of patient data with each patient visit and documents in the patient medical record.
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Analyze LIS data to confirm customer volumes, test menus and validation of project implementation and cost savings results. Collect and analyze before and after data points to ensure cost savings goals are met and customer sign-off in a timely manner.
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Expertise in BI, Analytics and Data management space and experience with vendors like AWS, Google Cloud, Snowflake, Databricks, Power BI, Tableau, etc. We enable the Office of the CFO to connect to and make sense of their data in real time so they can proactively drive greater financial intelligence across their organization.
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By applying, you consent to your information being transmitted by GenZJobs to the Employer, as data controller, through the Employer’s data processor SonicJobs. Collaborates with child psychiatrist, and allied health professional team to plan and direct each individual members treatment program.
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Big Plus: Experience with large scale data processing & pipeline orchestration tools like Dataflow, Kubeflow, Airflow, BigQuery and Ray. Experience in large-scale deep learning recommendation model training using parallel computing, distributed training frameworks (e.g., Ray Training, PyTorch Distributed), and efficient utilization of hardware resources is a big plus.
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Your Role With Us: The Cardiac Care Clinical Data Abstractor is accountable for supporting excellence in clinical practice within the Cardiovascular Service Line. Key responsibilities include: 1.
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