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1 years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Basic Qualifications 3 years of relevant data engineering experience. Familiarity with Agile Scrum principles and ceremonies Preferred Qualifications 2 years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.
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Big Data Technologies : Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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Exposure to big data technologies such as Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, etc. Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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Work as platform admin on Snowflake or Databricks on AWS i.e., Configuration, Data migration and security. Technical expertise in all aspects of Data platforms/products such as Snowflake, Databricks, Superset, Kubernetes, etc.
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Experience with data warehouse solutions like Redshift, Snowflake, or BigQuery, and data orchestration tools such as Apache Airflow. Familiarity with distributed data processing frameworks such as Apache Spark or Hadoop.
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Good knowledge of Data & Analytics technologies such as Data Lakes, Business Intelligence Tools, Predictive Models, 3rd Party Data. Good knowledge of Microservices & API Mgmt., Java Script Frameworks such as Angular, Cloud Platforms such as Microsoft Azure is preferred.
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At least 4 - 6 years combined legal experience at a top law firm and/or in-house legal department, with at least 4 years of privacy/data protection experience. Handle privacy and data protection-related inquiries from a wide range of groups across the company and provide actionable advice and legal counsel to facilitate privacy and data protection compliance.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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A minimum of 6+ years of data science/ops research experience preferably within the supply chain industry, demand planning, CPG industry and/or retail replenishment. These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
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Exposure to geospatial software and/or data such as photogrammetry, point clouds, and terrain, or other large 3D models. Be a key part of our development team to define the new pipelines, optimizations, and standards for 3D geospatial data processing.
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Tech will include; Embedded Systems, Wireless Data Transfer, MCU, PCB, iOS / Android. Core technology includes -– Embedded Systems, Wireless Data Transfer, MCU, PCB. Tech will include; Embedded Systems, Wireless Data Transfer, MCU, PCB, iOS / Android.
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Teaching responsibilities may include participation in biomedical informatics and computational biology PhD and MS training programs, as well as teaching informatics and data science courses in biomedical graduate programs.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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In this role you be working with data scientists, ML engineers, product owners and business stakeholders, partner with Risk and Control colleagues to shape programs and initiatives at the enterprise level that enable consistent use of model risk management best practices across all models used at Vanguard including various types of AI/ML models.
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Manage the development of system requirements that build on both research and commercial systems for low power systems for data, communications, processing, and RF.Operate digital circuit design tools such as AutoCAD, Ansys, PSpice.
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data job Company: Intuit in Camden, NJ
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