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Human-Centered Data Science (e.g., databases, big data, information retrieval, robotics, artificial intelligence, information visualization) Cultural Heritage Informatics (e.g., archives, digital collections, preservation, digital curation, digital humanities, museum studies, metadata, cultural studies of information technology, history of information, critical data studies.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Certifications: Privacy focused certifications such as Certified Information Privacy Professional (CIPP- US); Certified Information Privacy Manager (CIPM); Certified Information Privacy Technologist (CIPT); Certified Data Privacy Professional (CDPP.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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Derek Bang, the practice founder and inventor of the group's flagship software product for net revenue reporting, Revenue Cycle Analytics (RCA) came to Crowe nearly 20 years ago with an idea for a strategic pursuit in the Healthcare Industry through his previous experience as a Healthcare Auditor at a Big 4 firm.
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Collaborate with the Security and Legal functions to ensure data security and adherence to all data privacy regulations and we are compliant with SOX/audit requirements and significantly raise the bar in terms of data, business process, and access security.
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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others. As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be apart of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization.
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The LiDAR Pilot holds a current FAA Part 107 certificate, and is responsible for the safe operations of drones while capturing inspection imagery and LIDAR data from Unmanned Aerial Systems (drones) and ground-based sensors for the Geospatial, Wind, Telecom, Utility, and Solar verticals at Zeitview, Inc. The primary function of this position is to capture accurate, actionable data that can be readily analyzed by our in-house software and analyst teams in support of customer requirements.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Big Data and Analytics. Data Center Modernization skills including, but not limited to: Data Center Facilities modernization, Data Center Migration, Data Center colocation, Data Center Consolidation, Data Center core networking concepts, etc.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Data Management and Segmentation: Manage and segment customer data within Salesforce Marketing Cloud for precise targeting and personalized messaging. Strong understanding of CAN-SPAM, GDPR, and other relevant data privacy and compliance regulations.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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big data jobs Company: Google in Austin, AZ, France
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