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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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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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Major(s): Business, Computer Forensics, Cybersecurity, Data Analytics/Science, Digital Forensics, Economics, Information Technology Management, History, Art History, Journalism, Investigative Journalism, Law, Pre-Law, International Law, Library Science, Legal Studies, Linguistics, Management Information Systems, Philosophy, Political Science, Research & Analysis/Legal Research, Risk Management.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Your Impact Provide oversight with collecting, compiling, and analyzing data from the physical work site, soil/water/sludge/rock samples, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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Proficiency in Cloud-based data warehousing platforms such as Redshift and Snowflake, along with expertise in data modeling, mining, and segmentation techniques. Bonus if you bring Data engineering certification Republic National Distributing Company and National Distributing Company are Equal Opportunity/Affirmative Action employers.
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You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.
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Reporting to the Director of Institutional Research, the Research Data Manager will write SQL queries, develop reports, and conduct analyses providing accurate, useful, and readily accessible data; develop and implement policies and best practices for strategic data planning, data analysis & modeling, and data element use.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Set up the data lake using Redshift, Athena, S3 and Glue AWS services. Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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The scope of responsibilities will include, but is not limited to: direct voter contact, cutting and managing turf, managing data and digital tools, relational organizing, voter registration activities, in-state communications (e.g. text, email, and other modes), and managing a large number of canvassers doing voter registration and other voter contact work.
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Working knowledge of UiPath Cloud’s ecosystem of tools, including Orchestrator, Studio, Document Understanding, AI Center, Connectors, RE Framework, Integration Services, Data Service, Insights, Process Mining, Task Mining, Test Automation, etc.
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data entry jobs Title: coordinator in Atlanta, NC, Germany
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