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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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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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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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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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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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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Monitor automated EDI jobs and ensure successful integration of data to application files. Perform data mapping and new Trading Partner setup in Trusted Link. Assist the EDI Coordinator with processing of day to day EDI transactions as needed.
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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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Synthesize disparate sets of data from sources such as malware, cyber attack patterns, and closed and open-source intelligence to inform instrumentation and detections. Monitor internal and external data sources while leveraging vendor resources to gather intelligence from deep and dark web, covert communication channels, social media platforms and other OSINT sources.
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The purpose of the Analyst, Predictive Modeling position is to analyze data to drive better business decisions, including: Pricing and credit risk, loan servicing strategies, business policies, processes, and performance, and champion/challenger tests.
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. We are seeking a skilled and experienced Data Engineer with expertise in Databricks, Azure, and Spark to join our dynamic team.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine. A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Job Description :Big Data Engineer Lead Location: This position will work a hybrid model (remote and office). Preferred Location: Atlanta, GA.The Big Data Engineer Lead is responsible for full delivery of end-to-end system development and maintenance on medium Enterprise-wide technology platforms.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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data job Title: entry level event assistant in Atlanta, CA, Australia
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