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Big Data Technologies: Expertise in big data technologies and frameworks such as Spark, HDFS, and Hive. Scheduler Experience: Experience with schedulers like Apache Airflow, Apache Luigi, and Chronos.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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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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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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Certifications or experience with relevant cloud platforms or data analytics technologies, such as Databricks (Fundamentals, GenAI Fundamentals, AWS Platform Architect, Platform Admin) and AWS (Cloud Practitioner, AI Practitioner, Solutions Architect, DevOps Engineer, Developer)Understanding of cloud data warehousing, ETL, and business intelligence concepts.
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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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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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Crafting high-quality Burgers & creating a World-Class guest experience Killer Burger is an oasis from the world, a food sanctuary that is dedicated to serving big, juicy, over-the-top hand-built burgers, each one topped with bacon and paired with a side of crispy fries.
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Experience in Advanced Geophysical Classification (AGC) data acquisition and familiarity with data processing software (, Oasis Montaj) a plus. Field data acquisition utilizing various geophysical sensors including Metal-Mapper, APEX, UltraTEM, EM61, GPR and Magnetometers.
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Extensive experience in Data Governance, Data Modeling, Data Security, Data Strategy, Data Integration, and Master Data Management (MDM). Key Responsibilities:Act as a strategic advisor to clients, driving the formulation of Enterprise Data roadmaps by identifying current setup gaps and charting a path forward.
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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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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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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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Project Management: Oversee the design, development, and maintenance of scalable and efficient data models using DBT and Snowflake. Lead the design and implementation of data orchestration workflows using tools such as Dagster or Airflow.
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This role is ideal for someone who is well-versed in the B2B payments / fintech marketing landscape, has a strong performance track record of demand generation and growth marketing strategy and execution, and is passionate about revenue growth and data to optimize performance and investment.
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big data jobs Title: registered nurse Company: Bayada in Oregon, OR
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